411 Plotly Jobs - Page 16

Job Requirements Work with a team to develop advanced analytic techniques to interrogate, visualize, interpret, and contextualize data and develop novel solutions to healthcare specific problems Implement a variety of analytics from data processing & QA to exploratory analytics and complex predictive models Understand client / product needs and translate them into tactical initiatives with defined goals and timelines Implement models using high level software packages (SKlearn, TensorFlow, PySpark, Databricks) Collaborate on software projects, providing analytical guidance and contributing to codebase Devises modeling and measuring techniques, and utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines to investigate complex issues, identify, and solve problems, and aid better decision making Plans, designs, coordinates and controls the progress of project work to meet client objectives; prepares and presents reports to clients Solves highly specialized technical objectives or problems without a pre-defined approach where the use of creative, imaginative solutions is required Synthesize raw data into digestible and actionable information. Identify specific research areas that merit investigation, develop new hypotheses and approaches for studies and evaluate the feasibility of such endeavors. Initiate, formulate, plan, execute and controls studies, which are designed for the purpose of identifying, analyzing, and reporting on healthcare related issues. Advise management on the selection of an appropriate study design, analysis, and in interpretation of study results. Work Experience BS/ MS in mathematics, physics, statistics, engineering, or similar discipline. Ph.D. preferred. Minimum of 5 years analytics/ Datascience experience Solid experience writing SQL queries Strong programming abilities Python (pandas, sklearn, numpy/ scipy, pyspark) Knowledge of statistical methods- regression, ANOVA, EDA, PCA, etc. Basic visualization skills- matplotlib/seaborn/plotly/etc. PowerBI experience highly preferred. Experience manipulating data sets through commercial and open source software (e.g. Redshift, Snowflake, Spark, Python, R, Databricks) Working knowledge of medical claims data (ICD-10 codes, HCPCS, CPT, etc.) Experience utilizing a range of analytics involving standard data in the Pharmaceutical Industry e.g. claims data from Symphony, IQVIA, Truven, Allscripts, etc. Must be comfortable conversing with the end-users Excellent analytical, verbal and communication skills Ability to thrive in a fast-paced, innovative environment Advanced Excel skills including (v-look-up, pivot tables, charts, graphing , and macros) Excellent documentation skills Excellent planning, organizational, and time management skills Ability to lead meetings and give presentation. Show more Show less

Responsibilities: • Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making. • Define and analyze key product data sets to understand customer and product behavior. • Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same. • Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations. • Perform feature engineering and develop and deploy predictive models/algorithms. • Coordinate with different teams to implement and deploy AI/ML driven models. • Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders. • Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Skills : • At least 4-6 years of experience of working with real-world data and building statistical models. • Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc. • Hands-on knowledge of SQL and Excel. • Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks. • Strong foundation of statistics and probability theory. • Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications. Other Skills: • Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience. • Ability to break a problem into smaller chunks and design solution accordingly. • Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights. • Ability to write modular, clean and well-documented code along with crisp design documents. • Strong communication and presentation skills. Show more Show less

CryptoChakra is an industry-leading cryptocurrency analytics and education platform committed to simplifying digital asset markets for traders, investors, and institutions. By integrating advanced machine learning frameworks, real-time blockchain intelligence, and immersive learning ecosystems, we empower users to decode market volatility with precision. Our platform delivers AI-driven price forecasts, sentiment analysis tools, and smart contract audits, complemented by curated tutorials and risk management frameworks. Focused on predictive modeling, DeFi analytics, and educational excellence, we champion transparency, integrity, and cutting-edge technology to democratize crypto literacy for a global audience. As a remote-first innovator, we bridge the gap between complex blockchain data and actionable financial strategies. Position: Data Analyst Intern (Digital Assets) Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s analytics team to transform raw blockchain data into strategic insights that power predictive models and educational resources. This role offers hands-on experience in statistical analysis, machine learning, and crypto market research, with mentorship from industry experts. Key Responsibilities Data Analysis & Modeling: Process and analyze datasets from exchanges (CoinGecko, Binance) and blockchain explorers (Etherscan) using Python/R and SQL. Conduct statistical evaluations (regression, clustering) to identify trends in trading volumes, wallet activity, and NFT markets. Predictive Analytics Support: Assist in refining AI-driven models for price forecasting and DeFi risk assessment. Validate model accuracy against real-time market movements and on-chain metrics. Insight Communication: Create dashboards (Tableau, Power BI) and reports to translate findings into actionable strategies for traders and educators. Blockchain Metrics Decoding: Investigate smart contract interactions, gas fees, and liquidity pool dynamics to support educational content development. Qualifications Technical Skills Proficiency in Python/R for data manipulation (Pandas, NumPy) and basic machine learning (Scikit-learn). Strong understanding of statistics (hypothesis testing, probability distributions) and SQL/NoSQL databases. Familiarity with data visualization tools (Tableau, Plotly) and blockchain datasets (Etherscan, Dune Analytics) is a plus. Professional Competencies Analytical rigor to derive insights from unstructured data. Ability to articulate technical results to cross-functional teams in a remote setting. Self-driven with adaptability to Agile workflows and collaboration tools (Slack, Jira). Preferred (Not Required) Academic projects involving crypto market analysis, time-series forecasting, or NLP. Exposure to DeFi protocols (Uniswap, Aave) or cloud platforms (AWS, GCP). Pursuing or holding a degree in Data Science, Statistics, Computer Science, or related fields. What We Offer Skill Development: Master tools like TensorFlow, SQL, and blockchain analytics platforms. Portfolio Impact: Contribute to models and tutorials used by globalCryptoChakra users. Flexibility: Remote work with mentorship tailored to your learning goals. Certification & Recognition: LinkedIn endorsement and completion certificate for standout performers. Show more Show less

CryptoChakra is a leading cryptocurrency analytics and education platform committed to decoding the complexities of digital asset markets for traders, investors, and institutions. By merging advanced machine learning frameworks, real-time blockchain intelligence, and immersive educational resources, we empower users to navigate market volatility with precision. Our platform leverages Python, TensorFlow, and AWS-powered infrastructure to deliver AI-driven price forecasts, risk assessment tools, and interactive tutorials that transform raw data into actionable strategies. As a remote-first innovator, we prioritize transparency, scalability, and inclusivity to redefine accessibility in decentralized finance. Position: Data Science Intern Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s data science team to refine predictive models, analyze blockchain trends, and contribute to tools used by thousands globally. This role offers hands-on experience in machine learning, sentiment analysis, and DeFi analytics, with mentorship from industry experts. Key Responsibilities Predictive Modeling: Develop and optimize ML algorithms (LSTM, Random Forest) for cryptocurrency price forecasting using historical and real-time blockchain data. Sentiment Analysis: Scrape and analyze social media (Twitter, Reddit) and news data to gauge market sentiment with NLP techniques. Blockchain Analytics: Decode on-chain metrics (wallet activity, gas fees) from explorers like Etherscan to identify market trends. Data Pipelines: Clean, preprocess, and structure datasets from exchanges (Binance, CoinGecko) for model training. Collaboration: Partner with engineers to deploy models into production and with educators to create data-backed tutorials. Qualifications Technical Skills Proficiency in Python/R for data manipulation (Pandas, NumPy) and machine learning (Scikit-learn, TensorFlow). Strong grasp of statistics (hypothesis testing, regression) and SQL/NoSQL databases. Familiarity with data visualization tools (Tableau, Plotly) and cloud platforms (AWS, GCP). Professional Competencies Analytical rigor to derive insights from unstructured datasets. Ability to communicate technical findings to non-technical stakeholders. Self-driven with adaptability to remote collaboration tools (Slack, Zoom). Preferred (Not Required) Academic projects involving time-series forecasting, clustering, or NLP. Exposure to blockchain fundamentals, DeFi protocols, or crypto APIs. Pursuing or holding a degree in Data Science, Computer Science, or related fields. What We Offer Skill Development: Master tools like PyTorch, Spark, and blockchain analytics platforms. Portfolio Impact: Contribute to models powering CryptoChakra’s predictions, used by 1M+ users. Flexibility: Remote-first culture with mentorship tailored to your learning pace. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance. Stay ahead with evolving technologies and guide strategic data initiatives. What we're looking for You'll Need To Have Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. If our company and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. #TPDRNONCDIO Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Chennai, India Bangalore, India Show more Show less

About YipitData: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our teams use state-of-the-art technologies to identify, license, clean, and analyze data that many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces . We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. Why You Should Apply NOW: As a Senior Data Platform Engineer, you will join at a pivotal time at the company to deploy mission-critical data pipelines and internal data tools that power our fastest-growing products. You are excited to augment the pipelines you develop by building interactive tools that analyze data outputs and provide step-level improvements to data refinement and accuracy You will scale data operations using a cutting-edge stack that leverages Gen AI, Spark, Databricks, and other leading Data technologies You are eager to optimize and automate the maintenance of our sophisticated data platform and provide technical guidance to platform users across the company About The Role: We are hiring a Senior Data Engineer (Internal, Official Title: Senior Data Platform Engineer) to report to the Chief Architect at YipitData. This newly established function is responsible for enabling data analysts and data entry teams to leverage innovative datasets and applications that power our fastest-growing analytical products. This is a unique, hybrid role that combines data engineering with some full-stack development, encompassing data modeling, ETL, and application development using lightweight Python frameworks such as Plotly Dash. As the pipelines and tools you will oversee are mission-critical, ongoing support, uptime maintenance, and onboarding new data team members are essential to making a strong impact in this role. You will work with sophisticated data pipelines and modern web applications that harness our petabyte-scale data lake. In addition, you will play a key role in our newest product, Signals, which delivers insights on software companies. Signals is growing rapidly, and this high-visibility position will contribute meaningfully by enabling the data operations behind the product. You will also be a core member of the Platform Engineering team, responsible for administering our Data & ML platform, supporting global teams during business hours, and researching and implementing process improvements and automation to reduce the team's support burden by leveraging the latest in data and GenAI technologies. As Our Senior Data Platform Engineer, You Will: Own and maintain core data pipelines that power strategic internal and external analytics products. Build lightweight data applications and tools on top of these pipelines using Python to streamline data refinement, transformation, and processing workflows. Drive reliability, efficiency, and performance improvements across the data platform. Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs. Partner with analysts, product teams, and engineering stakeholders to understand data requirements and translate them into scalable solutions. Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency. Work with a modern tech stack that includes: Python, Databricks (Spark), Pandas, Plotly Dash, AWS, Github, and Docker. This is a fully-remote opportunity based in India. During onboarding, we expect working hours to be 2pm -11pm IST to allow for overlap with other teammates. Afterwards, standard work hours are from 11am to 8pm IST. You Are Likely To Succeed If: Have 5+ years of proven experience in data engineering, particularly in systems with high uptime requirements. Thrive in a fast-paced, evolving environment and can efficiently navigate multiple technologies and production services to troubleshoot and resolve issues. Eager to learn basic application development using Python frameworks and Databricks to automate analytical and data entry workflows Possess strong communication skills, responsiveness, attention to detail, a team-oriented mindset, and the ability to collaborate effectively with both technical and non-technical stakeholders. Show a track record of excellent problem-solving and debugging abilities, maintaining reliable codebases, and architecting efficient data processes. Are proficient in Python, Spark, Docker, AWS, and database technologies. (Experience with Pandas, Plotly Dash, Databricks, or REST APIs is a plus but not required.) What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice Show more Show less

About YipitData: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our teams use state-of-the-art technologies to identify, license, clean, and analyze data that many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces . We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. Why You Should Apply NOW: As a Senior Data Platform Engineer, you will join at a pivotal time at the company to deploy mission-critical data pipelines and internal data tools that power our fastest-growing products. You are excited to augment the pipelines you develop by building interactive tools that analyze data outputs and provide step-level improvements to data refinement and accuracy You will scale data operations using a cutting-edge stack that leverages Gen AI, Spark, Databricks, and other leading Data technologies You are eager to optimize and automate the maintenance of our sophisticated data platform and provide technical guidance to platform users across the company About The Role: We are hiring a Senior Data Pipeline Engineer (Internal, Official Title: Senior Data Platform Engineer) to report to the Chief Architect at YipitData. This newly established function is responsible for enabling data analysts and data entry teams to leverage innovative datasets and applications that power our fastest-growing analytical products. This is a unique, hybrid role that combines data engineering with some full-stack development, encompassing data modeling, ETL, and application development using lightweight Python frameworks such as Plotly Dash. As the pipelines and tools you will oversee are mission-critical, ongoing support, uptime maintenance, and onboarding new data team members are essential to making a strong impact in this role. You will work with sophisticated data pipelines and modern web applications that harness our petabyte-scale data lake. In addition, you will play a key role in our newest product, Signals, which delivers insights on software companies. Signals is growing rapidly, and this high-visibility position will contribute meaningfully by enabling the data operations behind the product. You will also be a core member of the Platform Engineering team, responsible for administering our Data & ML platform, supporting global teams during business hours, and researching and implementing process improvements and automation to reduce the team's support burden by leveraging the latest in data and GenAI technologies. As Our Senior Data Platform Engineer, You Will: Own and maintain core data pipelines that power strategic internal and external analytics products. Build lightweight data applications and tools on top of these pipelines using Python to streamline data refinement, transformation, and processing workflows. Drive reliability, efficiency, and performance improvements across the data platform. Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs. Partner with analysts, product teams, and engineering stakeholders to understand data requirements and translate them into scalable solutions. Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency. Work with a modern tech stack that includes: Python, Databricks (Spark), Pandas, Plotly Dash, AWS, Github, and Docker. This is a fully-remote opportunity based in India. During onboarding, we expect working hours to be 2pm -11pm IST to allow for overlap with other teammates. Afterwards, standard work hours are from 11am to 8pm IST. You Are Likely To Succeed If: Have 5+ years of proven experience in data engineering, particularly in systems with high uptime requirements. Thrive in a fast-paced, evolving environment and can efficiently navigate multiple technologies and production services to troubleshoot and resolve issues. Eager to learn basic application development using Python frameworks and Databricks to automate analytical and data entry workflows Possess strong communication skills, responsiveness, attention to detail, a team-oriented mindset, and the ability to collaborate effectively with both technical and non-technical stakeholders. Show a track record of excellent problem-solving and debugging abilities, maintaining reliable codebases, and architecting efficient data processes. Are proficient in Python, Spark, Docker, AWS, and database technologies. (Experience with Pandas, Plotly Dash, Databricks, or REST APIs is a plus but not required.) What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice Show more Show less

About YipitData: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our teams use state-of-the-art technologies to identify, license, clean, and analyze data that many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces . We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. Why You Should Apply NOW: As a Senior Data Platform Engineer, you will join at a pivotal time at the company to deploy mission-critical data pipelines and internal data tools that power our fastest-growing products. You are excited to augment the pipelines you develop by building interactive tools that analyze data outputs and provide step-level improvements to data refinement and accuracy You will scale data operations using a cutting-edge stack that leverages Gen AI, Spark, Databricks, and other leading Data technologies You are eager to optimize and automate the maintenance of our sophisticated data platform and provide technical guidance to platform users across the company About The Role: We are hiring a Senior Data Analytics Engineer (Internal, Official Title: Senior Data Platform Engineer) to report to the Chief Architect at YipitData. This newly established function is responsible for enabling data analysts and data entry teams to leverage innovative datasets and applications that power our fastest-growing analytical products. This is a unique, hybrid role that combines data engineering with some full-stack development, encompassing data modeling, ETL, and application development using lightweight Python frameworks such as Plotly Dash. As the pipelines and tools you will oversee are mission-critical, ongoing support, uptime maintenance, and onboarding new data team members are essential to making a strong impact in this role. You will work with sophisticated data pipelines and modern web applications that harness our petabyte-scale data lake. In addition, you will play a key role in our newest product, Signals, which delivers insights on software companies. Signals is growing rapidly, and this high-visibility position will contribute meaningfully by enabling the data operations behind the product. You will also be a core member of the Platform Engineering team, responsible for administering our Data & ML platform, supporting global teams during business hours, and researching and implementing process improvements and automation to reduce the team's support burden by leveraging the latest in data and GenAI technologies. As Our Senior Data Platform Engineer, You Will: Own and maintain core data pipelines that power strategic internal and external analytics products. Build lightweight data applications and tools on top of these pipelines using Python to streamline data refinement, transformation, and processing workflows. Drive reliability, efficiency, and performance improvements across the data platform. Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs. Partner with analysts, product teams, and engineering stakeholders to understand data requirements and translate them into scalable solutions. Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency. Work with a modern tech stack that includes: Python, Databricks (Spark), Pandas, Plotly Dash, AWS, Github, and Docker. This is a fully-remote opportunity based in India. During onboarding, we expect working hours to be 2pm -11pm IST to allow for overlap with other teammates. Afterwards, standard work hours are from 11am to 8pm IST. You Are Likely To Succeed If: Have 5+ years of proven experience in data engineering, particularly in systems with high uptime requirements. Thrive in a fast-paced, evolving environment and can efficiently navigate multiple technologies and production services to troubleshoot and resolve issues. Eager to learn basic application development using Python frameworks and Databricks to automate analytical and data entry workflows Possess strong communication skills, responsiveness, attention to detail, a team-oriented mindset, and the ability to collaborate effectively with both technical and non-technical stakeholders. Show a track record of excellent problem-solving and debugging abilities, maintaining reliable codebases, and architecting efficient data processes. Are proficient in Python, Spark, Docker, AWS, and database technologies. (Experience with Pandas, Plotly Dash, Databricks, or REST APIs is a plus but not required.) What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice Show more Show less

Senior Advisor - Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Data Science Team in Bangalore What You’ll Achieve As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Partner with internal and external teams to understand customer requirements and develop proposals Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights Implement preliminary data exploration and data preparation steps for model development/validation Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. Solution, build, deploy and setup monitoring for models. Thrive in a dynamic and sometimes ambiguous environment, working with minimal supervision while delivering action items in a timely fashion. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements 8-10 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. Working experience in data visualization (e.g., Power BI, matplotlib, plotly). Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Requirements Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ).Experience with cloud platforms (e.g., AWS, Azure, GCP) Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django).Skilled in programming languages like Java or JavaScript. Who We Are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 2 June 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID: R260848 Show more Show less

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity. Show more Show less

Job title : Real-World Evidence Data Scientist About The Job Our Team: Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions . Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, Globally. Main Responsibilities The overall purpose and main responsibilities are listed below: Provide a high level of expertise in employing cutting-edge analytical & computational approaches to drive evidence-based pharmaceutical product development; provide scientific and technical leadership in machine learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting edge analysis to key business questions. Examples of Advanced Analytics activities: (1) Machine/Deep Learning to elucidate disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needs; (2) Create a framework for generating re-usable models and insights across big-data (e.g. EHRs, claims) and rich small data sets (e.g. clinical trials, imaging); (3) Generating insights by merging diverse data streams e.g. health, surveillance, trend data, sensor, imaging; (4) Adoption of emerging technology into an analytical framework: distributed analytics, graph databases People: (1) Act as a subject matter expert in machine learning, statistical and/or modelling working on team projects; (2) Work with internal and external study lead to execute Advance Analytics projects and studies. Performance: (1) Implement and execute computational and statistical methodologies in Advanced Analytics for RWE; (2) Provide expertise and execute advanced analytics for solving problems across R&D, Medical Affairs, HEVA and Market Access Strategies and Plans Process: (1) Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modelling, simulation, text-mining/NLP, data-mining to extract insights and be able to communicate and champion these efforts across the company; (2) Plan and deploy methodological standards, standardized processes, demos, and POCs for the company’s highest priority business needs; (3) Contribute to the design, development, and implementation of Sanofi’s data science architecture and ecosystem to guide decision-making and building foundational capabilities About You Experience: Around 10 years’ experience; High level proficiency in at least two or more technical or analytical languages (R, Python, etc..); experience with advanced ML techniques (neural networks/deep learning, reinforcement learning, SVM, PCA, etc.); ability to interact with a variety of large-scale data structures e.g., HDFS, SQL, NoSQL; Experience working across multiple environments (e.g. AWS, GCP, Linux) for optimizing compute and big data handling requirements; Experience with any of the following: biomedical data types/population health data/real world data/novel data streams relevant to the pharmaceutical industry; Experience with big data analytics platforms or high-level ML libraries such as H2O, SageMaker, Databricks, Keras, pyTorch, TensorFlow, Theano, DSSTNE or similar; Ability to prototype analyses and algorithms in high-level languages embracing reproducible and collaborative technology platforms (e.g. GitHub, containers, jupyter notebooks); Exposure to NLP technologies and analyses; Knowledge of some datavis technologies (ggplot2, shiny, plotly, d3, Tableau or Spotfire); Experience with probabilistic and/or functional programming languages such as Stan, Edward, Scala; Experience with advanced ML techniques (RNN, CNN, LSTM, GRU, Genetic Algorithms, Reinforcement Learning, etc.) Real-World Data (RWD): Experience with Real-World Data (RWD), demonstrated proficiency in working with diverse real-world data sources, including but not limited to: MarketScan, CPRD, TriNetX and STATinMED. Education: PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; Relevant Master’s Degree, with 10 years of related industry or academic experience. Soft skills: Strong oral and written communication skills; ability to work and collaborate in a team environment Languages: Excellent knowledge of English language (spoken and written) Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity. Show more Show less

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet. Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world. Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live. A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. Job Title: Sr. Specialist, Data Science Travel Required?: No Travel Date: May 24, 2025 Remote Relocation Assistance Offered Within Country Job Number #165399 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has supplied to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the GLOBAL ANALYTICS team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape. What role will you play as a member of Colgate's Analytics team? The GLOBAL DATA SCIENCE & sophisticated ANALYTICS vertical in Colgate Palmolive is focused on working on reasons which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to handle relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who are you… You are a function expert - Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need BE/ BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What you’ll need…(Preferred) Handling, redefining, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Solid understanding of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/presenting data for partners using: Looker, DOMO, pydash, plotly, d3.js, ggplot2, pydash, streamlit etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc) Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Experience : 4 – 7 years Location : Pune, India (Work from Office) Job Description Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB). Excellent verbal and written communication skills. Excellent analytical and problem-solving skills. Degree in Computer Science, Engineering or relevant field is preferred. Proven Experience as Data Analyst or Data Scientist. Good To Have Familiarity with Hive, Pig and Scala. Experience in embeddings, Retrieval Augmented Generation (RAG), Gen AI Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Apply for this position Upload Resume* Show more Show less

We're pioneering a new paradigm for preventive health — one where disease is predicted, prevented, or course corrected much before symptoms appear. Our AI-driven platform provides scientifically rigorous, deeply personal, universally accessible health insights to help people live longer, healthier lives. Who should apply? You're a data storyteller who transforms complex biomarker patterns into actionable health insights. You're passionate about using LLMs and AI models to create breakthrough visualizations that help people understand their health like never before. Responsibilities Design & Build scalable data pipelines processing millions of biomarker readings Architect Data Structures for personalized health insights and risk predictions Create Pathbreaking Visualizations using AI models to reveal health patterns Develop Query Systems for real-time health data analysis and reporting Integrate LLMs for automated insight generation and natural language health explanations Build Analytics Dashboards that make complex health data accessible to users Qualifications 4-7 years of data engineering experience with large-scale systems in a product based startup environment Advanced SQL and NoSQL database expertise Data Visualization mastery (D3.js, Plotly, Tableau, custom solutions) LLM Integration experience (OpenAI API, Anthropic, local models) Python/R for data science and ML model deployment Cloud Platforms (AWS/GCP/Azure) with healthcare compliance knowledge What Makes You Special Natural Curiosity - You dig deep into data anomalies and patterns Ownership Mindset - You ensure data quality and system reliability Innovation Drive - You push boundaries in health data visualization Impact Focus - You understand that your work affects real health outcomes Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing… Lead development of advanced machine learning and statistical models Design scalable data pipelines using PySpark Perform data transformation and exploratory analysis using Pandas, Numpy and SQL Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch Mentor junior engineers and lead code reviews, best practices and documentation. Designing and implementing big data, streaming AI/ML training and prediction pipelines. Translate complex business problems into data driven solutions. Promote best practices in data science, and model governance . Stay ahead with evolving technologies and guide strategic data initiatives. What We're Looking For… You'll need to have: Bachelor's degree or four or more years of work experience. Experience in Python, PySpark and SQL. Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering. Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis. Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models Experience in Model evaluation, cross validation, hyper parameters tuning Familiarity with data visualization tools and techniques. Even better if you have one or more of the following: Experience with machine learning and statistical analysis. Experience in Hypothesis testing. Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. If our company and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above. #TPDRNONCDIO Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Relocation Assistance Offered Within Country Job Number #167192 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. https://docs.google.com/document/d/1IEQSMFIlFhdw2wJQEGOQR4Os95O7u9aqrhhnjBc15rU/edit?tab=t.0 About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the GLOBAL ANALYTICS team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this ever-changing landscape. What role will you play as a member of Colgate's Analytics team? The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to manage relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who are you… You are a function expert - Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What You’ll Need…(Preferred) Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/presenting data for partners using: Looker, DOMO, pydash, plotly, d3.js, ggplot2, pydash, streamlit etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc) Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

Relocation Assistance Offered Within Country Job Number #165399 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has supplied to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the GLOBAL ANALYTICS team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape. What role will you play as a member of Colgate's Analytics team? The GLOBAL DATA SCIENCE & sophisticated ANALYTICS vertical in Colgate Palmolive is focused on working on reasons which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to handle relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who Are You… You are a function expert - Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need BE/ BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What You’ll Need…(Preferred) Handling, redefining, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Solid understanding of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/presenting data for partners using: Looker, DOMO, pydash, plotly, d3.js, ggplot2, pydash, streamlit etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc) Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year . In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future. Learn More About Cognite Here Cognite Product Tour 2024 Cognite Product Tour 2023 Data Contextualization Masterclass 2023 Our values Impact : Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership : Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless : Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. Who You Are 3+ years industry experience (or an academic background) in the oil and gas, manufacturing or Power & Utilities domain building analytical solutions (data-driven and/or simulations) for production optimization and predictive maintenance, such as general well monitoring, well event predictions (risk identification), production planning, flow assurance, etc. 1+ years experience serving as a domain expert on internal or customer projects Proficient with Python and its data ecosystem (pandas, numpy), ML libraries (scikit-learn, keras, etc) Experience in data visualization using PowerBI, Grafana, Tableau, or web development frameworks like Plotly Dash, Streamlit, etc. Promoting good software development practices including automated tests and documentation Experience with Version control (git, for example) Experience contributing code to a large software project Pragmatic, can balance short term and long term tradeoffs Realistic and credible advisor on machine learning Excellent communicator internally and with customers; Managing expectations of technical stakeholders at the customer. Mentoring and quality assurance of juniors’ work Cloud experience, such as building streaming calculations & models as serverless functions Deployment to production using provided infrastructure practices A track record of working in diverse industries Ready to stay up to date with latest developments in GenAI and using GenAI services to build use cases for customers Join the global Cognite community! 🌐 Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝 ITPL office location (Bengaluru) A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata 📷 to know more Flat structure with direct access to decision-makers, with minimal amount of bureaucracy Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners. Hybrid work environment globally Why choose Cognite? 🏆 🚀 Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation ! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader ! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇 Apply today! If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. We encourage you to follow us on Cognite LinkedIn ; we post all our openings there. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Front End Developer - Specialist - End of March Technical Skills Languages & Frameworks: JavaScript (ES6+), React, HTML5, CSS3 (Sass, Bootstrap) Data Visualization Tools: Python-Dash, Plotly, R, power bi Version Control: Git, GitHub Design Tools: Figma 5-7 years of experience in developing webapps using Python Dash, Plotly, R Deep expertise in working on UI/UX concepts and tools such as Figm EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Company: TradingFunda.com Location: Hybrid / Bhubaneswar (Preferred) Compensation: Equity-based Partnership (No initial investment required) About the Opportunity: Do you have a strong technical background and a passion for trading, data, and financial markets? TradingFunda.com is a FinTech startup revolutionizing the way people learn and act on stock market knowledge. With a fast-growing user base and a validated product-market fit, we are looking for a Technical Co-Founder to drive our product innovation and tech infrastructure. You’ll join as a core member of the founding team and help scale our trading education ecosystem, live market tools, data analytics dashboards, and personalized content engines. What You’ll Do: Build and maintain scalable web platforms that deliver real-time stock market data, insights, and educational content Integrate APIs from NSE, BSE, Zerodha/Kite, Yahoo Finance, and other trading platforms Design tools like backtesters, live screener dashboards, stock comparison modules, and portfolio trackers Implement automation for user onboarding, alerts, and course delivery Work closely with content and marketing teams to deploy dynamic educational modules Ensure site speed, security, and data integrity through optimized backend services Drive tech strategy and innovation aligned with FinTech compliance and growth goals What We’re Looking For: Strong experience in web development (Python, FastAPI/Django, React, PostgreSQL) Familiarity with financial APIs, stock data structures, and market indicators Interest or experience in algorithmic trading, investing, or personal finance Understanding of charts (Candlestick, OHLC), real-time data feeds, and technical analysis tools Passion for educating others and building a community-centric product Bonus: Experience with financial data visualization (Plotly, Highcharts, TradingView widgets) Why Join Us? Equity co-founder position in a high-growth FinTech education startup Direct impact on the financial literacy and empowerment of retail traders Shape cutting-edge products in trading tech, data tools, and personalized learning Collaborate with trading experts, educators, and marketers No upfront investment – only your tech talent and vision needed Ready to Build the Future of Trading Education? We're not offering just a job—we’re offering a seat at the founder’s table. If you're a builder, thinker, and trader at heart, this is your chance to co-create something game-changing. Apply Now or reach out directly to explore this unique opportunity. Show more Show less

Relocation Assistance Offered Within Country Job Number #167192 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. https://docs.google.com/document/d/1IEQSMFIlFhdw2wJQEGOQR4Os95O7u9aqrhhnjBc15rU/edit?tab=t.0 About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the GLOBAL ANALYTICS team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this ever-changing landscape. What role will you play as a member of Colgate's Analytics team? The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modeling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to manage relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who are you… You are a function expert - Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What you’ll need…(Preferred) Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/presenting data for partners using: Looker, DOMO, pydash, plotly, d3.js, ggplot2, pydash, streamlit etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc) Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Job Title: Data Scientist – Python Location: Bhopal (Onsite) Experience: 1 to 3 Years Employment Type: Full-time About Us: At Brandsmashers Tech , we’re passionate about leveraging data to transform industries and empower decision-making. We work across domains like e-commerce, healthcare, agriculture, and education, delivering scalable, data-driven solutions. Join us and be part of a team shaping the future with technology and insights. Job Summary: We are looking for a Data Scientist proficient in Python to join our analytics and AI team. The ideal candidate will have hands-on experience with data preprocessing, statistical analysis, machine learning, and data visualization. You’ll play a key role in deriving actionable insights from data and developing intelligent solutions that drive business value. Key Responsibilities: Analyze large datasets to discover trends, patterns, and insights. Develop, test, and deploy machine learning models using Python libraries (e.g., scikit-learn, TensorFlow, PyTorch). Perform data cleaning, transformation, and feature engineering. Design and implement predictive models and algorithms. Visualize data insights using tools like Matplotlib, Seaborn, Plotly, or Power BI. Collaborate with cross-functional teams including engineering, product, and marketing to integrate data science solutions. Communicate findings to stakeholders through presentations and reports. Stay updated with latest advancements in data science and machine learning. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. 2+ years of hands-on experience in data science or applied machine learning. Strong proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, and Matplotlib. Experience with ML frameworks like TensorFlow, Keras, or PyTorch. Knowledge of SQL and data querying tools. Experience with model deployment is a plus (e.g., using Flask, FastAPI). Excellent problem-solving skills and analytical mindset. Strong communication and collaboration skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure). Knowledge of big data tools (Spark, Hadoop) is a plus. Understanding of MLOps and automated pipelines. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Weekend availability Ability to commute/relocate: Govindpura, Bhopal, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Required) Data Engineer: 2 years (Required) Language: English (Preferred) Work Location: In person Expected Start Date: 22/05/2025

ABOUT US: Bain & Company is a global consultancy that helps the world’s most ambitious change-makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. Expert Client Delivery (ECD) is an integral unit of BCN. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutions across all industries, specific domains for corporate cases, client development, private equity diligence, and Bain intellectual property. WHO YOU’LL WORK WITH: This is an opportunity to be a part of Bain’s Financial Services (FS), Centre of Expertise (CoE), based out of Gurugram office. The FS CoE supports the global FS practice with research and analytics, to develop new and update existing FS tools and create the annual IP publications, reports and point-ofviews. In addition, the team also helps global Bain case teams and collaborates with consultants, Research and Data Services, and Expert Partners to deliver client-ready analysis on active cases. The group comprises of 20+ team members, working across Banking, insurance and other FS sectors. What you’ll do Support the BCN case leads in problem solving, hypothesis generation, research and insight generation and quality control Interpret, understand, and break down case requirements into actionable task items for the team-let Lead meaningful and focused meetings on owned project workstreams, deliver business insights effectively to the project leadership Be willing to take on challenging analytical problems and read research papers to come up with cutting-edge solutions from across disciplines to arrive at analytical solutions Be part of the thought leadership exercise to establish a blue-print for cloud-based deployment of any analytical and/or data-driven solution Ensure application performance and scale, maintaining high standards of code quality and thoughtful design Support the process of Translating business problems into ML problems and create ML solutions to produce desired customer business outcomes. Execute and deliver high quality outputs timely to internal and external stakeholders Ability to derive actionable insights from voluminous quantitative and qualitative data/research Provide day-to-day coaching to analysts on various aspects of projects, while also overseeing a workstream for 1-2 analysts Gain proficiency in the key industry data sources KPIs along with developing expertise in analytical tools, models and languages Gain proficiency in select consulting solutions (go-to-market strategy, revenue management, account management, brand strategy, etc.) delivered to and relevant for FS industry clients, along with expertise in one or more key sub-sectors within CP, covering consumer preferences, market trends, competitor landscape, etc. Work on building and deploying advanced analytics solutions, including large-scale data processing, computationally intensive Optimization, Machine Learning and Deep Learning models The focus will be on making the deployment sustainable and scalable, as per solution needs Work on parallel processing of ML solutions, in an optimal manner Collaborating with team members to make the solutions as client-ready as possible (Good-to-have) Ability to deploy advanced analytics solutions on AWS/Azure About You Candidates should be graduates / post-graduates with a strong academic record Work experience range in case the highest qualification is undergraduate studies – 2-5 years of exposure to management consulting, preferably in a global MNC environment Work experience range in case highest qualification is postgraduate studies – 1-2 years of exposure to management consulting, preferably in a global MNC environment Demonstrated technical experience working with technologies related to industrialization of artificial intelligence, machine learning and/or deep learning. A mathematics and statistics background is preferred in addition to experience building complex machine learning models Hands-on experience in building complex statistical models Strong communications skills, should be able to drive discussion/presentations with senior stakeholders and client maps Excellent implementation skills in Python and/or R, SQL and (preferably) PySpark with understanding of in analytical tools and techniques including / similar to Alteryx, Tableau, Power BI Well versed in dealing with large datasets and using ML/DL libraries or packages Deep understanding of the Gen-AI tooling ecosystem including knowledge and experience of Kubernetes, MLOps and AIOps tools (mandatory) Proficient with Excel, and PowerPoint (Good-to-have) Familiar with Cloud services (AWS) related to AI/ML Architect and implement AI-driven solutions Develop and deploy Generative AI-based solutions , leveraging cloud computing platforms (AWS/ Azure/GCP) Hands-on experience with Python programming, microservices architecture, and cloud technologies (AWS) Proven experience with database systems such as SQL Server, PostgreSQL, good to have knowledge of Snowflake, Oracle Frontend and Backend Technologies: Exposure to HTML , CSS, Javascript , ReactJS and FastAPI , Django Exposure to data analysis and visualization libraries like Matplotlib, Plotly , Pandas, Numpy etc. Strong understanding of LLMs, NLP, Chains, Agents and AI model fine-tuning Work in client-facing roles, understand business needs, and translate them into AI-driven solutions Identify technical limitations, propose alternative approaches, and ensure the scalability of AI applications What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

Position Title: Data Scientist Company Overview: Capgemini Engineering is a global leader in engineering services, bringing together a worldwide team of engineers, scientists, and architects to assist the most innovative companies in unleashing their potential. Position Overview: We are seeking a skilled Data Scientist with expertise in Cognite Data Fusion, data modelling, Unified Namespace (UNS), ontologies, and the identification of data products and datasets. The ideal candidate will have a strong background in developing and implementing data science projects, analyzing large and complex data sets, and driving data-driven decision-making across the organization Key Responsibilities: Solution Development: Design, implement, and deploy scalable data solutions utilizing Cognite Data Fusion, focusing on data modeling, UNS, and ontologies to address industry-specific challenges.​ Data Analysis: Analyze large and complex data sets to identify trends, insights, and opportunities, supporting solution development and business strategies.​ Collaboration: Collaborate with cross-functional teams to understand data needs and translate them into data science solutions, ensuring seamless integration and operationalization of digital solutions across various domains. Client Engagement: Engage with clients to understand their business objectives, lead discovery workshops, and provide expert guidance on data-driven strategies and potential challenges.​ Visualization: Develop dashboards and visualizations using tools such as Power BI, Grafana, or web development frameworks like Plotly Dash and Streamlit to effectively communicate data insights.​ Mentorship: Provide guidance and mentorship to junior team members, promoting best practices in data science and software development.​ Qualifications: Educational Background: Master’s or PhD degree in a quantitative field.​ Experience: Minimum of 2 years of experience in data science, with a strong background in developing analytical solutions within domains such as pharma, oil and gas, manufacturing, or power & utilities.​ Technical Skills: Proficiency in Python and its data ecosystem (pandas, numpy), machine learning libraries (scikit-learn, keras), and experience with SQL.​ Visualization Tools: Experience with data visualization tools like Power BI, Grafana, Tableau, or web development frameworks such as Plotly Dash and Streamlit.​ Software Practices: Strong understanding of software development practices, including version control (e.g., Git), automated testing, and documentation.​ Cloud Platforms: Experience with cloud services such as GCP, Azure, or AWS is advantageous.​ Domain Knowledge: Familiarity with industrial data management concepts, including Unified Namespace (UNS), ontologies, and data product identification.​ Communication Skills: Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders.​ Leadership: Demonstrated ability to lead projects and mentor junior team members.​ Preferred Qualifications: Industry Expertise: Experience serving as a domain expert on internal or customer projects within relevant industries.​ Cloud Deployment: Experience deploying models and solutions in production environments using cloud infrastructure.​ Continuous Learning: Willingness to stay updated with the latest developments in data science and related technologies.​ Show more Show less