162 Plotly Jobs - Page 7

Knowledge Foundry is looking for an experienced Frontend Developer - Specialist to join our team as a full-time permanent employee . The ideal candidate will have a strong background in developing web applications , with expertise in JavaScript (ES6+), React, HTML5, CSS3 (Sass, Bootstrap), and data visualization tools like Python Dash, Plotly, R, and Power BI . We seek a professional who can translate complex data into visually appealing and interactive dashboards , work with UI/UX concepts and design tools like Figma , and optimize applications for performance, scalability, and responsiveness . Key Responsibilities: Develop, optimize, and maintain high-performance web applications using React, JavaScript (ES6+), HTML5, and CSS3 (Sass, Bootstrap) Implement interactive data visualization using Python Dash, Plotly, R, and Power BI Collaborate with UI/UX designers to build intuitive, user-friendly interfaces based on Figma designs Optimize web applications for speed, responsiveness, and scalability Work with version control systems like Git and GitHub to manage codebase efficiently Debug and troubleshoot front-end performance issues Stay updated with the latest front-end technologies and best practices Required Skills & Qualifications: Bachelors/Master’s degree in Computer Science, Software Engineering, or a related field 5-7 years of experience in developing web applications using React and JavaScript (ES6+) Data Visualization: Python Dash, Plotly, R, Power BI UI/UX & Design Tools: Figma, CSS3 (Sass, Bootstrap) Version Control: Git, GitHub Experience in optimizing front-end performance and scalability

Role & responsibilities: Delivery of Key Projects : Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints. Collaboration : Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities. Solution Development : Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics. End-to-End Pipeline Management : Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance. Dashboard Design : Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting. Technological Expertise : Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently. ETL Pipeline Building : Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management. Data Procurement and Management : Independently procure and process data, ensuring seamless integration within the company's overall data management strategy. Technology Exploration : Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company. Technical Skills: Proficiency in Python and common libraries ( Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow ). Strong Knowledge in Statistics and Probability . Set up cloud alerts, monitors, dashboards, and logging systems, and troubleshoot data platform infrastructure as needed. Experience in OpenShift/Kubernetes, Azure ML is desirable. Proficiency in programming languages: Python (Dash) and database query languages SQL or KQL . Good applied statistical skills, including hands-on experience in time series modeling, predictive modeling, distributions, and regression . Knowledge of DevOps/MLOps . Exceptional analytical and problem-solving skills. Desired candidate profile : Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience. Total of 6 to 10 years of professional experience. Minimum 4 years of experience in data science/machine learning . Minimum 3 years of experience with SQL . Experience in DevOps, preferably with hands-on experience in one or more cloud service providers, with Azure being preferred. If the above has triggered your interest, we are looking forward to receiving your application! ** Data Analyst/ Data Engineer profiles are not suitable for this role. Looking for core experience with a Data Scientist role only.

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

Experience: 4-7 Location: Pune Primary Skills: Machine Learning, NLP, Pandas, NumPy, SciPy, scikit-learn, NLTK 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 with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc. Experience with using cloud technologies on AWS/ Microsoft Azure. Show more Show less

We are looking for a highly motivated and detail-oriented Data Scientist with 2–3 years of experience to join our growing team. The ideal candidate will have strong analytical skills, a solid foundation in machine learning, and the ability to translate data into actionable insights that drive business decisions. Responsibilities: Collect, clean, and preprocess structured and unstructured data from various sources. Develop, implement, and evaluate predictive models and machine learning algorithms. Perform statistical analyses to extract insights and support business strategies. Visualize and communicate results to stakeholders through dashboards, reports, and presentations. Collaborate with cross-functional teams to define data-driven approaches for business problems. Monitor and improve the performance of deployed models. Stay current with the latest research and developments in data science and machine learning. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 2–3 years of hands-on experience in data science, machine learning, or a related role. Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience with data visualization tools like Power BI, Tableau, or Plotly. Solid understanding of statistical methods, data modeling, and algorithm design. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills.

Relocation Assistance Offered Within Country Job Number #166101 - 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 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 The Global Data Science & Advanced Analytics team in Colgate Palmolive is focused on working on commercial business cases which have a revenue impact for the business with recommended actions and scope for scalability across markets. The role requires working with cross functional teams and leaders across Information Technology (UI/UX Front End, Back end, ML Ops), data architecture, data engineering, division analytics leads and business teams, The Global Data Science & Advanced Analytics team is structured with Analytics Leads, Data Science Leads, Data Scientists and Analytics Engineers to solve business questions, provide actionable insights and drive growth for the organization. The role will lead a team of Data Scientists to develop scalable enterprise solutions from scratch in the areas of Marketing and Media Effectiveness, Marketing Mix Models, Revenue Growth Management, Category Forecasting. The role requires an understanding of Internal & external data sources (Syndicated Market Data, Point of Sales, Nielsen, SAP, Retailer ePOS etc.) and the ability to work with large datasets to derive insights and recommendations. The candidate should have proven ability to write scalable codes in SQL, Python, R to build and deploy statistical models, machine learning models in production using Airflow, conceptualize algorithms to guide the team to achieve the business objectives and goals. Knowledge of working on cloud environments (Google Cloud, Snowflake) is crucial. The candidate should be an analytical problem solver and be proactive and responsive to Business needs Communication is a prime requisite along with storytelling to present complex model insights in simple business language to the stakeholders. Who Are You You are a Data Science Expert and Leader working on solving Business Questions and leading a high performing Data Science and Advanced Analytics team An expert coder to write codes in SQL, Python to build scalable enterprise level data science solutions in Marketing Mix Modelling and Revenue Growth Management and to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics Ability to write codes to build Regression Models, Machine Learning Models [ Ridge, Lasso, Logistic Regression, Bayesian Regression, Random Forests, XGBOOST, Optimization, Simulation ] at scale and then deploy models in production on cloud platforms using Airflow Leading, Mentoring, Coaching data scientists on key technical and domain topics through solution and code reviews to meet business objectives End to end accountability of quality of recommendations, insights and data science solutions developed and deployed in the organization globally You can prioritize multiple work assignments multi-task conflicting priorities and meet deadlines Excellent written and verbal communication. Good facilitation and project management skills You connect the dots - Understands business needs, business questions and identifies the right analytics capabilities to solve them Presentation and Storytelling of model results, insights, recommendation and actions to Marketing and Customer Development (Sales) team and to Division/Global Analytics Leads Communicate complex quantitative insights in a precise, and actionable manner to business stakeholders You are a collaborator - Work with cross functional teams in GIT, Data Architecture, Analytics Engineering to drive the delivery and project management of large scale enterprise wide data science solutions Work collaboratively with the Division Analytics/Global Analytics team and business partners across geographies located in different time zones. You are an innovator - Drive new value from insights by connecting external and internal data sources Bring in enhancements to the existing data science solutions / capabilities by exploring new solutions and techniques Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, exploring new data sources, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need Bachelor degree required [ Master's or MBA preferred ] in data science, computer science engineering, Information Technology, other engineering streams, a related quantitative and technical (Statistics, Business Analytics, Econometrics) 8+ years of data science and analytics experience in developing and deploying machine learning algorithms in a production environment Experience in setting up or managing a data science team is a must [ 2+ years ] Expert knowledge in all the following domains Marketing Mix Modeling, Revenue Growth Management, Optimization Techniques, Forecasting, Recommendation Engines, Marketing Analytics in CPG or Consulting Companies Extraordinary coding skills in SQL, Python, PySpark, R to implement statistical and machine learning algorithms like Linear Regression, Ridge, Lasso, PyMc, Bayesian Methods, GLMNET, Decision Trees, Random Forests, XGBOOST, SVM etc Strong knowledge of MLOPS using docker, airflow, kubernetes, databricks, dataiku on any cloud platform Proficient in Cloud Platforms - Google Cloud, Snowflake and experience dealing with high-volume, high-dimensionality data from varying sources (Cloud Platforms, Nielsen, SAP, Retailer ePOS; both structured and unstructured data) Experience in supporting and working with multi-functional teams in a dynamic environment Proficient in Reporting Insights, making and delivering presentation via Excel, Google Sheets, Google Slides, DOMO and any other Visualization Tools Proven Ability to provide structure and think strategically in complex business context and operate effectively in ambiguity Ability to independently plan and execute deliveries and be comfortable in a client / business facing role Exceptional communication & collaboration skills to understand business partner needs & deliver solutions. What You’ll Need (Preferred) Experience in building web apps using Pydash, Plotly, R Shiny, Streamlit Experience in Deep Learning, Reinforcement Learning, Image Recognition, AI algorithms, GenAI Experience with Databricks, Docker, Azure Data Factory Experience with machine learning API on cloud services: Azure, AWS, Vertex AI 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

Company :CBitss Technologies Experience : Minimum 2 years in Data Science Salary : Attractive package Immediate Joiner Required Role Overview: We're seeking a skilled Data Science, AI, and Python Development Trainer to deliver high-quality training sessions, workshops, and courses. The ideal candidate will have a deep understanding of these subjects and excellent communication skills. Key Responsibilities: 1. Conduct interactive training sessions on Data Science, AI, and Python 2. Develop course material aligned with industry standards 3. Mentor students through practical projects and coding challenges 4. Stay updated with latest developments in Data Science, AI, and Python 5. Provide personalized feedback and support to students 6. Collaborate with team to improve training programs Skills & Qualifications: 1. Strong expertise in Python programming (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) 2. Hands-on experience with Data Science, Machine Learning, and data analytics 3. Practical knowledge of AI applications and solutions 4. Excellent communication, presentation, and interpersonal skills 5. Experience in creating educational content and hands-on projects 6. Prior teaching or mentoring experience is a plus 7. Resident of Tricity region (Chandigarh, Mohali, Panchkula) Additional Skills: 1. Familiarity with cloud computing platforms (AWS, GCP, Azure) 2. Knowledge of data visualization tools (Matplotlib, Seaborn, Plotly) 3. Experience with SQL and data manipulation Why Join Us?: 1. Innovative, technology-driven team 2. Opportunity to work with cutting-edge tools and technologies 3. Competitive compensation 4. Contribute to shaping the future of data science and AI professionals How to Apply: Send your updated resume and brief cover letter highlighting your relevant experience to CBitss Technologies. #DataScienceJobs #DataScienceTrainer #DataScientist #AIJobs #MachineLearningJobs #PythonTrainer #DataAnalyticsJobs #DataScienceCareers #JobOpening #HiringNow #DataScienceTraining #ArtificialIntelligenceJobs #TechJobs #CareerOpportunity #DataScienceRecruitment Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹50,544.60 per month Benefits: Cell phone reimbursement Flexible schedule Health insurance Internet reimbursement Leave encashment Paid sick time Provident Fund Schedule: Day shift Morning shift Supplemental Pay: Overtime pay Performance bonus Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required) Experience: Data science: 2 years (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

As an expectation a fitting candidate must have/be: Ability to analyze business problem and cut through the data challenges. Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval Quick to develop the POCs and transform it to high scale production ready code. Experience in extracting data through complex unstructured documents using NLP based technologies. Good to have : Document analysis using Image processing/computer vision and geometric deep learning Technology Stack: Python as a primary programming language. Conceptual understanding of classic ML/DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc. Programming: Must Have: Must be hands-on with data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming Good to have: Design patterns/System design, cython ML libraries : Must Have: Scikit-learn, XGBoost, imblearn, SciPy, Gensim Good to have: matplotlib/plotly, Lime/sharp Data extraction and handling: Must Have: DASK/Modin, beautifulsoup/scrappy, Multiprocessing Good to have: Data Augmentation, Pyspark, Accelerate NLP/Text analytics: Must Have: Bag of words, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence Good to have: Machine comprehension, translation, elastic search Deep learning: Must Have: TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Attention, Transformers, Residual Networks Good to have: Knowledge of optimization, Distributed training/computing, Language models Software peripherals: Must Have: REST services, SQL/NoSQL, UNIX, Code versioning Good to have: Docker containers, data versioning Research: Must Have: Well verse with latest trends in ML and DL area. Zeal to research and implement cutting areas in AI segment to solve complex problems Good to have: Contributed to research papers/patents and it is published on internet in ML and DL Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

ML Engineers 3-10 yrs Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Certifications: Big plus if they are certified ML Engineers. Skills: Python, SQl is a must and need strong exp. certified candidates scikit-learn, tensorflow, pytorch Scientific python libs : Numpy, pandas, pyspark, dask, matplotlib, transformers, plotly Generative AI , Cloud (Azure) - Cloud is for Senior roles Big Data is a huge Plus people who worked with larger sets, for ex: FMCG, retail, telecom, oil and gas upstream/ downstream.

Experienced in -React.JS, Plotly DASH, HTML5, AngularJS, PowerBI, Grafana. Should have worked on frontend technologies Responsible for creating and executing user interface component using React.js concepts & workflows such as Redux, Flux & Webpack

What you will do Lets do this. Lets change the world. In this vital role you will create and develop data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research collaborators. You will also provide technical leadership to junior team members. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Lead, manage, and mentor a high-performing team of data engineers Design, develop, and implement data pipelines, ETL processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate Degree OR Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications: 3+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Excellent problem-solving skills and the ability to work with large, complex datasets Able to engage with business collaborators and mentor team to develop data pipelines and data models Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Good understanding of data modeling, data warehousing, and data integration concepts Good experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining technical documentation in Confluence Understanding of data governance frameworks, tools, and best practices Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills