3292 Data Scientist Jobs - Page 8

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Responsibilities SQL Database Management: Ensure data accuracy, integrity, and security within our SQL databases. Make necessary adjustments based on business requirements. Python (Kedro Pipelines) Lead Generation: Lead and maintain our Python-based lead generation program (Harvest Growth) Continuously improve and optimize the pipeline. Dashboards and Reporting: Collaborate with the business to enhance and maintain Power BI dashboards / tools for both Growth and Pricing initiatives. Documentation: Create necessary documentations and training related to the lead generation program. Qualifications Bachelor’s degree in computer science or related field. 0-4 years of experience in data analysis, business intelligence, or related roles. Proficiency in SQL Server and Python. Strong sense of urgency and ownership. Key Skills SQL Server database management Python Data analysis and visualization Problem-solving and critical thinking Quick learner and collaborator Good To Have Skills Power BI Artificial Intelligence and Machine Learning Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE... We're looking for a highly analytical and hands-on Data Scientist to drive segmentation, targeting, and next-best-action strategies that power B2B marketing and sales strategies. This role sits at the intersection of data science, marketing, and operation strategy—ideal for someone who thrives in fast-paced environments and is passionate about using data to personalize and scale customer engagement. WHAT YOU'LL NEED TO BRING TO THIS ROLE... Responsibilities Extract, clean, and prepare data from various sources (CRM, Marketo, web analytics, etc.) for analysis. Apply statistical methods—hypothesis testing, correlation, forecasting, regression, sampling, time series analysis —to understand the drivers of marketing performance and improve pipeline efficiency. Implement analytics strategies to understand buyer behaviors, segments, and channels across solutions. Conduct time series or regression analysis to identify trends, and understand seasonality in B2B customer behavior. Map multi-touch customer journeys to identify key behavioral signals that influence engagement, opportunity creation. and conversion Perform causal inference and experiment analysis to assess marketing lift and channel effectiveness. Collaborate with marketing and sales stakeholders to understand their business questions and translate them into analytical frameworks Build dashboards and reports and enable marketing teams with self-serve analytics tools for activation and performance monitoring. Partner with Marketing Operations to embed insights into MAP and CRM workflows. Skills & Qualifications 4+ Years of Experience in Data Science, Marketing Analytics or related fields in B2B A degree in Statistics, Data Science, Economics, Computer Science, Math or a similar domain Experience applying data science best practices to B2B marketing use cases such as lead scoring, propensity models, journey analytics, and account prioritization. Deep understanding of statistical analysis, segmentation techniques, and machine learning (e.g., regression, clustering, classification, uplift modeling). Ability to translate complex analytics into business action across marketing and sales. Comfortable working cross-functionally and presenting insights to non-technical stakeholders. Strong skills in Python (pandas, scikit-learn, seaborn/matplotlib), SQL, Google Sheet and Tableau. Familiarity with CRM/MAP, and Intent platforms (6sense, Bombora etc). Exposure to causal inference, experimentation (A/B testing), or time-to-event modeling. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure's policies, unless you are on PTO, or work travel, or other approved leave. #LI-ONSITE WHAT YOU CAN EXPECT FROM US: Pure Innovation : We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! Pure Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Responsibilities: SQL Database Management: Ensure data accuracy, integrity, and security within our SQL databases. Make necessary adjustments based on business requirements. Python (Kedro Pipelines) Lead Generation: Lead and maintain our Python-based lead generation program (Harvest Growth) Continuously improve and optimize the pipeline. Dashboards and Reporting: Collaborate with the business to enhance and maintain Power BI dashboards / tools for both Growth and Pricing initiatives. Documentation: Create necessary documentations and training related to the lead generation program. Qualifications: Bachelor’s degree in computer science or related field. 0-4 years of experience in data analysis, business intelligence, or related roles. Proficiency in SQL Server and Python. Strong sense of urgency and ownership. Key Skills: SQL Server database management Python Data analysis and visualization Problem-solving and critical thinking Quick learner and collaborator Good to have Skills: Power BI Artificial Intelligence and Machine Learning Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

we are hiring Lead Data Scientist !!! As a seasoned Lead Data Scientist , you will join our team in Bangalore and play a pivotal role in driving the development and implementation of advanced data and AI solutions. Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization. Lead and contribute to AI research initiatives, publishing findings and representing the organization in industry forums and events. Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy. Champion the adoption of AI ethics and governance principles, embedding responsible AI practices into our solutions and processes. Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence. Requirements : Proven experience as a Data Scientist for minimum 5 years. Solid understanding of machine learning. Knowledge of data management and visualization techniques. Good knowledge of R, Python and MATLAB Experience with SQL and NoSQL databases Strong project management skills and proven ability working in cross-functional teams and mentoring talent. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,400,000.00 per year Benefits: Provident Fund Experience: Data science: 4 years (Preferred) Work Location: In person

We are a leading AI research and quant firm looking to aggressively scale our company. We are looking to hire people who are simply enthusiastic about AI. **IMPORTANT** TO APPLY TO THIS JOB YOU MUST STAR THE GITHUB REPO BY CLICKING THE APPLY LINK. YOU WILL BE REDIREECTED TO A GITHUB REPO, PLEASE STAR THAT GITHUB REPO SO WE GET ACCESS TO YOUR GITHUB ACCOUNT. WE WILL REACH OUT TO YOU WITH FURTHER STEPS. We have 11 open positions for this role but we are growing fast so apply as soon as possible to avoid being disappointed. Perks - We Offer relocation bonus and help you shift to UK. - Fully remote job, you can work from UK, India or anywhere else in the world. - We will sponsor your visa to UK. We will pay for the legal costs and assist with your application. - You get to work on latest LLM technologies. Role Description You as our Data Scientist will be responsible for tasks such as pattern recognition, neural networks, software development, and natural language processing (NLP). Qualifications Experience with Github Experience in Software Development Excellent problem-solving and analytical skills Ability to work independently and in a team

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Job Title: Data Scientist Company Info: TVS Digital is a digital technology start-up focused on the Fintech & Automotive industry with platforms and services offerings in the Credit & Collection Services and Automotive & Retail domain. We provide IT Services to accelerate digital transformation by partnering with industry renowned platforms (Microsoft, Salesforce, Oracle, SAP) & help to develop centre of excellence for our customers. TVS Digital’s mission is to build & deliver high quality software solutions & services to help address real life business challenges of global companies in these domains by harnessing the power of Analytics, Artificial Intelligence (AI), Machine Learning (ML). Our strategy is to leverage inorganic and organic means for the initial build out and subsequent expansion and growth. TVS Digital is a part of TVS Holdings and has also currently invested in several early-stage high tech start-ups globally in areas of connected manufacturing, fleet management and credit services. Job Description: The ideal candidate will have a strong background in data analytics, statistics, programming, and data visualisation, as well as experience using data to generate actionable insights, drive business decisions, and productionize machine learning models. The candidate will be responsible for working with cross-functional teams to identify opportunities for leveraging data to solve business problems, developing and implementing analytical models, and productionizing models for deployment in a production environment. Responsibilities: Work with cross-functional teams to identify opportunities for leveraging data to solve business problems Collect, clean, and transform data from various sources Analyse and interpret large datasets using statistical techniques and data visualisation tools Develop and maintain predictive models using Python Evaluate the performance of analytical models and make recommendations for improvements Productionize machine learning models for deployment in a production environment Develop and maintain code for model deployment, monitoring, and retraining Explain the model to both technical and non-technical stakeholders, including the model assumptions, limitations, and potential impact on the business Communicate insights and model explanations to both technical and non-technical stakeholders using compelling data visualisations and storytelling techniques Develop presentations and reports to share insights and model explanations with senior management and other stakeholders Requirements: Master's or Ph.D. degree in Computer Science, Engineering, Statistics, Mathematics, or related field At least 8+ years of experience working as a data scientist or similar role Strong programming skills in Python Strong understanding of statistical analysis techniques and data visualization tools Experience working with large datasets, including data cleaning, transformation, and visualization Experience productionizing machine learning models for deployment in a production environment Excellent communication skills, with the ability to effectively communicate insights and model explanations to both technical and non-technical stakeholders Strong problem-solving skills and attention to detail Ability to work collaboratively in a team environment

Job Description Essential Functions/Core Responsibilities • Reviews customer satisfaction and other operational metric results on a daily/weekly/monthly basis to identify trends in performance; produces monthly management reports • Analyzes qualitative and quantitative data and identifies performance improvement opportunities via Microsoft Pivot tables, cross-tabs or via other tools • Determines areas for focus and conducts analyses to understand the drivers of performance gaps • Coordinates with statisticians for development of key driver analysis, statistical linkages and calibration between customer satisfaction and other operational metrics such as quality, average handle time • Coordinates data feeds with Operations to provide data for analysis • Supports relationship-building with peers in Operations to understand current operational processes and identify possible gaps that may be contributing to lower key metric results; serves as an extension of the Operational team; may document operational processes as input to improvement initiatives • Facilitates and conducts root cause analysis to determine the underlying drivers behind performance gaps. Root cause may include on site observation, interviews, and process documentation • Facilitates action planning sessions with Call Center Operations or other stakeholders. Aids in developing recommendations involving operational changes that are expected to improve results; assists in testing of new/revised processes • Facilitates the implementation of action plans in collaboration with Call Center Operational units • Develops updates to reflect current status of activities; monitors progress against action plans and contributes to decisions to ensure goals are met; monitors call center operational performance on goals and objectives; isolates initiative effectiveness on improving key performance metrics • Produces documentation of key insights, solution recommendations, solution business cases and action plan results for incorporation into internal or client reviews; interacts with external clients to present analytic results and solution recommendations • Identifies problems that may jeopardize the analysis or program and works with manager to determine contingency plans • Contributes to decisions regarding analytic design, information requirements and deliverable schedules Candidate Profile • Bachelor’s degree in related field from a four-year college or university with two to four years related experience preferred • 4+years of overall Analytical thinking and analytic aptitude; ability to apply quantitative data analysis techniques to improve work processes • Strong attention to detail • Sense of professionalism and ability to develop relationships • Strong communication skills, both written and verbal • Strong customer service orientation • Ability to work in an environment where activities and deliverables are dependent on a diverse group of technical and business functional experts • Ability to work an emerging and rapidly changing environment • Demonstrated ability to multi-task, prioritize, and meet timelines on deliverables • Experience or exposure with statistical concepts and applications, data analysis, call center exposure, customer satisfaction data exposure and/or process consulting experience preferred • Proficient in Microsoft Office • Exposure to Six Sigma methodology • Up to 10% travel may be required

The Job Independently lead data science projects and deliver innovative technical solutions to solve problems and improve business outcomes. Lead the design and development of machine learning/statistical models and ensure best performance. Work closely with engineers to deploy models in production both in real time and in batch process and systematically track model performance. Assist engagement with key business stakeholders in discussion on business strategies and opportunities. Build strong working relationships and develop deep partnership with the business. Be a subject matter expert on machine learning and predictive modeling. Drive technical innovation through active research and applications of new theories, techniques, and technologies. What Skills You Bring BE or ME (or equivalent degree) degree in Engineering or Computer Science. 5 to 9 years of experience in Software development. Support-level knowledge of HP Quality Center ALM, UFT, and associated Add-Ins. High level understanding of technology infrastructure, security concepts and platforms. Understanding of technology infrastructure, security concepts and platforms. Knowledge of Windows, Linux, Networking, Load Balancing, Firewalls and Virtual Machines. Experience with Python Experience with Hadoop, Hive, Spark. Experience in machine learning and statistical modeling. Experience in practicing machine learning and data science in business. Experience in leading data science projects and delivering from end to end. Experience in data management and data analysis in relational database and in Hadoop. Strong communication and interpersonal skills. Excellent problem solving and critical thinking capabilities. Experience with Mutiple AI/ML Algorithms. Experience with Kafka. Strong experience in SQL and database management. What You Can Expect From Us Flexible working hours, Hybrid work environment (Occasionally, extended hours split shifts may be required). Fast-paced office environment. Thank you for your interest in Sandvine. We will contact you if your skills and experience are a match for the role. Otherwise, we will keep your resume in case there is a match with future opportunities. Sandvine is committed to supporting a culture of inclusion, diversity and accessibility to employment for all. We are proud to operate as an equal opportunity employer. The Sandvine Global Talent Acquisition Team

One of our client is seeking a Data Scientist with 2-6 Years of experience with strong expertise in Data Science, Python, and SQL to join our team in the travel industry for Hyderabad Location . The role involves working with cross-functional teams to analyze customer behavior, forecast demand, optimize pricing models, and deploy AI-driven solutions to enhance user experience and drive business growth. Hire2 2.ai connects top talent with executive ro les anonymously and confidenti ally, transforming hiring through an AI-first, instant CoNCT m odel. Companies get interview-ready candidates in just 22 hou rs. No telecalling, no spam, no manual filtering Key Responsibilities Work across all stages of the data science lifecycle – data collection, preprocessing, model development, and deployment. Build and train machine learning models for fare prediction, demand forecasting, and customer segmentation . Implement ML Flow for experiment tracking, model versioning, and dataset management. Deploy and manage models on cloud platforms ensuring scalability and reliability. Analyze large structured and unstructured datasets to identify trends and actionable insights. Collaborate with Engineering, Product, Marketing, and Finance teams on data-driven initiatives. Develop and maintain data pipelines for ingestion, transformation, and modeling. Conduct statistical analysis, hypothesis testing, and A/B testing for product decisions. Create visualizations, dashboards, and reports to communicate insights effectively. Contribute to automation and development of scalable data science tools. Mandatory Skills Data Science – Applied machine learning, predictive modeling, statistical analysis. Python – Strong programming and analytical coding experience. SQL – Expertise in querying, database management, and handling large datasets. Preferred / Good-to-Have Skills Machine Learning Frameworks: PyTorch, TensorFlow, JAX, Keras, Scikit-learn, Distributed Model Training. Programming & Development: PySpark, Julia, MATLAB, Git, GitLab, Docker, CI/CD pipelines, MLOps. Cloud & Deployment: AWS SageMaker, MLFlow, Model Deployment & Scaling. Data Engineering & Analytics: Pandas, NumPy, Spark, Hadoop, Feature Engineering, Data Preprocessing. Visualization: Tableau, Power BI, Looker, Matplotlib, Seaborn. Databases & Querying: Snowflake, Databricks. Big Data & Monitoring: Kubernetes, Model Monitoring. Computer Vision (Optional): CNN, RNN, OpenCV, Kornia, Image/Video Analytics. NLP / Deep Learning: Transformers, LLMs, Recommendation Systems. Domain Knowledge: Travel industry, GDS APIs (Amadeus, Sabre), flight search optimization, pricing models. System Design: HLD/LLD for production-scale ML workflows. This Job Post is Valid for Only 22 Hours. Please Apply Quickly

Experience : 2-3 years Job Overview: • Lead and deliver hands-on data science projects, ensuring timely completion. • Mentor and support junior data scientists in daily tasks and skill development. • Interact regularly with clients/stakeholders to gather requirements and provide updates. • Allocate tasks, set milestones, and monitor project progress. • Actively contribute to coding, data analysis, and model building. • Ensure project timelines are met and proactively resolve issues. • Conduct code reviews and promote best practices within the team. • Prepare and present progress reports to stakeholders. • Proficiency in Python, data science tools, and project management required. • Bachelor’s/Master’s in a relevant field and 2-3 years hands-on experience essential.

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Responsibilities: SQL Database Management: Ensure data accuracy, integrity, and security within our SQL databases. Make necessary adjustments based on business requirements. Python (Kedro Pipelines) Lead Generation: Lead and maintain our Python-based lead generation program (Harvest Growth) Continuously improve and optimize the pipeline. Dashboards and Reporting: Collaborate with the business to enhance and maintain Power BI dashboards / tools for both Growth and Pricing initiatives. Documentation: Create necessary documentations and training related to the lead generation program. Qualifications: Bachelor’s degree in computer science or related field. 0-4 years of experience in data analysis, business intelligence, or related roles. Proficiency in SQL Server and Python. Strong sense of urgency and ownership. Key Skills: SQL Server database management Python Data analysis and visualization Problem-solving and critical thinking Quick learner and collaborator Good to have Skills: Power BI Artificial Intelligence and Machine Learning Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

Job Title: Data Scientist – Databricks & ML Deployment Expert Experience: 3-8 Years About the Role We are seeking an experienced and versatile Data Scientist with a strong foundation in Databricks, PySpark, and end-to-end machine learning model development and deployment. This role will be instrumental in delivering advanced ML solutions across Retail and Automotive domains with specific use cases like CLV modeling, predictive maintenance, and time series forecasting. Key Responsibilities • Build and scale machine learning models (Regression, Classification, Clustering) for real-world business problems • Work on Time Series Forecasting, Customer Lifetime Value (CLV) models, and Predictive Maintenance • Design and implement ML workflows using Databricks and PySpark • Automate ML and data workflows using time-based or event-driven triggers • Develop APIs (using Flask, FastAPI, or Django) to serve ML models as REST endpoints • Deploy and monitor ML models in production (must have experience with at least 1 deployments) • Collaborate with cross-functional teams including data engineering and DevOps for seamless CI/CD integration • Write efficient SQL queries for feature extraction, data cleaning, and model input preparation • Optimize model performance and pipeline efficiency (code and infrastructure level) Must-Have Skills • Databricks (Must Have) • PySpark (Must Have) • End-to-end experience in ML model development and deployment (at least 2 production deployments) • Strong in Regression, Classification, Clustering, and Time Series Forecasting • Knowledge of Medallion Architecture in data processing • Experience with API development (Flask/FastAPI/Django) • Hands-on with CI/CD pipelines and deployment automation • Proficient in SQL (Intermediate to Advanced) • Exposure to batch processing and workflow automation • Familiarity with ELT/ETL processes • Code or service-level optimization in ML pipelines Domain Exposure • Retail – CLV, Pricing Models, Demand Forecasting • Automotive – Predictive Maintenance, Time Series Forecasting Good to Have • Experience with MLflow, Docker, or Kubernetes • Understanding of cloud ecosystems (Azure, AWS, or GCP

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries. At Kovai.co , we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions. Our Products: Biztalk360 Turbo360 Document360 “UK headquarters. Indian innovation. Global impact.” Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception. We are on track towards $30 million in annual revenue – and we're just getting started. Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys. Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose. What's the job: Data Scientist What you’ll do on the job: Understand business problems and formulate hypothesis Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on Performing data quality checks for quality assurance Build data pipelines to supply quality data to machine learning model in production environment Supports innovative analytical thinking & solutions that results into improved business performance Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner Practice industry well-known Machine Learning Framework and best practices Who’ll be a good fit: Proven working experience of 2+ years as a Data Scientist Strong in mathematics - statistics, probability, linear algebra, time series Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language) Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software), MS SQL Server Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning. Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building Write scalable scripts to fetch or modify data from API endpoints Exposure to cloud technology is preferred (Azure) Excellent critical thinking, verbal, and written communication skills Equal Opportunities: Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE... We’re looking for a highly analytical and hands-on Data Scientist to drive segmentation, targeting, and next-best-action strategies that power B2B marketing and sales strategies. This role sits at the intersection of data science, marketing, and operation strategy—ideal for someone who thrives in fast-paced environments and is passionate about using data to personalize and scale customer engagement. Responsibilities WHAT YOU’LL NEED TO BRING TO THIS ROLE... Extract, clean, and prepare data from various sources (CRM, Marketo, web analytics, etc.) for analysis. Apply statistical methods—hypothesis testing, correlation, forecasting, regression, sampling, time series analysis —to understand the drivers of marketing performance and improve pipeline efficiency. Implement analytics strategies to understand buyer behaviors, segments, and channels across solutions. Conduct time series or regression analysis to identify trends, and understand seasonality in B2B customer behavior. Map multi-touch customer journeys to identify key behavioral signals that influence engagement, opportunity creation. and conversion Perform causal inference and experiment analysis to assess marketing lift and channel effectiveness. Collaborate with marketing and sales stakeholders to understand their business questions and translate them into analytical frameworks Build dashboards and reports and enable marketing teams with self-serve analytics tools for activation and performance monitoring. Partner with Marketing Operations to embed insights into MAP and CRM workflows. Skills & Qualifications 4+ Years of Experience in Data Science, Marketing Analytics or related fields in B2B A degree in Statistics, Data Science, Economics, Computer Science, Math or a similar domain Experience applying data science best practices to B2B marketing use cases such as lead scoring, propensity models, journey analytics, and account prioritization. Deep understanding of statistical analysis, segmentation techniques, and machine learning (e.g., regression, clustering, classification, uplift modeling). Ability to translate complex analytics into business action across marketing and sales. Comfortable working cross-functionally and presenting insights to non-technical stakeholders. Strong skills in Python (pandas, scikit-learn, seaborn/matplotlib), SQL, Google Sheet and Tableau. Familiarity with CRM/MAP, and Intent platforms (6sense, Bombora etc). Exposure to causal inference, experimentation (A/B testing), or time-to-event modeling. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave. What You Can Expect From Us Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! Pure Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information. Accommodations And Accessibility Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview. Our Commitment To a Strong And Inclusive Team We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE... We're looking for a highly analytical and hands-on Data Scientist to drive segmentation, targeting, and next-best-action strategies that power B2B marketing and sales strategies. This role sits at the intersection of data science, marketing, and operation strategy—ideal for someone who thrives in fast-paced environments and is passionate about using data to personalize and scale customer engagement. WHAT YOU'LL NEED TO BRING TO THIS ROLE... Responsibilities Extract, clean, and prepare data from various sources (CRM, Marketo, web analytics, etc.) for analysis. Apply statistical methods—hypothesis testing, correlation, forecasting, regression, sampling, time series analysis —to understand the drivers of marketing performance and improve pipeline efficiency. Implement analytics strategies to understand buyer behaviors, segments, and channels across solutions. Conduct time series or regression analysis to identify trends, and understand seasonality in B2B customer behavior. Map multi-touch customer journeys to identify key behavioral signals that influence engagement, opportunity creation. and conversion Perform causal inference and experiment analysis to assess marketing lift and channel effectiveness. Collaborate with marketing and sales stakeholders to understand their business questions and translate them into analytical frameworks Build dashboards and reports and enable marketing teams with self-serve analytics tools for activation and performance monitoring. Partner with Marketing Operations to embed insights into MAP and CRM workflows. Skills & Qualifications 4+ Years of Experience in Data Science, Marketing Analytics or related fields in B2B A degree in Statistics, Data Science, Economics, Computer Science, Math or a similar domain Experience applying data science best practices to B2B marketing use cases such as lead scoring, propensity models, journey analytics, and account prioritization. Deep understanding of statistical analysis, segmentation techniques, and machine learning (e.g., regression, clustering, classification, uplift modeling). Ability to translate complex analytics into business action across marketing and sales. Comfortable working cross-functionally and presenting insights to non-technical stakeholders. Strong skills in Python (pandas, scikit-learn, seaborn/matplotlib), SQL, Google Sheet and Tableau. Familiarity with CRM/MAP, and Intent platforms (6sense, Bombora etc). Exposure to causal inference, experimentation (A/B testing), or time-to-event modeling. We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure's policies, unless you are on PTO, or work travel, or other approved leave. #LI-ONSITE WHAT YOU CAN EXPECT FROM US: Pure Innovation : We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! Pure Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [email protected] if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

we are hiring Lead Data Scientist !!! As a seasoned Lead Data Scientist , you will join our team in Bangalore and play a pivotal role in driving the development and implementation of advanced data and AI solutions. Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization. Lead and contribute to AI research initiatives, publishing findings and representing the organization in industry forums and events. Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy. Champion the adoption of AI ethics and governance principles, embedding responsible AI practices into our solutions and processes. Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence. Requirements : Proven experience as a Data Scientist for minimum 5 years. Solid understanding of machine learning. Knowledge of data management and visualization techniques. Good knowledge of R, Python and MATLAB Experience with SQL and NoSQL databases Strong project management skills and proven ability working in cross-functional teams and mentoring talent. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,400,000.00 per year Benefits: Provident Fund Experience: Data science: 4 years (Preferred) Work Location: In person

OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forward in its evolution by becoming part of Otto Group one.O, the new central, high-performance partner for strategy consulting and technology for the Otto Group. This strengthens our mission to deliver innovative IT solutions for commerce and logistics, combining experience, technology, and a global vision to lead the digital future. OSP India’s name transition OSP India will adopt the name Otto Group one.O in the future, following our headquarters' rebranding. We want to assure you that this brand name change will not affect your role, job security, or our company culture. This transition aligns us with our global teams in Germany, Spain, and Taiwan and enhances our collaboration moving forward We are looking for a Data Scientist to join our dynamic team. In this role, you will take end-to-end responsibility for developing, deploying, and optimizing machine learning models that support marketing, budgeting, and business decision-making. You will work closely with colleagues across departments, translating data-driven insights into actionable strategies with measurable business impact. Responsibilities Design and develop machine learning models for budget allocation, marketing performance optimization, and business management . Apply classic ML methods such as XGBoost, regression models, and curve fitting to solve business challenges. Take ownership of the end-to-end data science lifecycle , from data analysis and model development to deployment and production operations. Continuously monitor, evaluate, and optimize existing models for performance and scalability. Collaborate within the data science team , working flexibly across both data science and data engineering tasks. Advise and support business stakeholders with actionable recommendations derived from model results. Requirements Strong proficiency in Python and SQL (especially using SQL within Python workflows). Expertise in machine learning algorithms (e.g., XGBoost, regression models) and solid understanding of statistical principles. Practical experience with Python data science libraries (e.g., pandas, NumPy, scikit-learn, SciPy, statsmodels, XGBoost). Ability to write and maintain production-ready code with best practices in software engineering. Experience deploying and operating models in production environments (MLOps mindset). Familiarity with cloud environments and Infrastructure as Code (IaC) concepts. Pragmatic, solution-oriented mindset with strong focus on delivering business impact . Nice-to-Have Experience with: Terraform Google Cloud Platform (GCP) Snowflake GitHub (version control, CI/CD pipelines) Knowledge of marketing and pricing processes and related models. Proficiency in German (minimum C1) for advising and collaborating with non-technical stakeholders. Benefits Flexible Working Hours: Support for work-life balance through adaptable scheduling. Comprehensive Medical Insurance: Coverage for employees and families, ensuring access to quality healthcare. Hybrid Work Model: Blend of in-office collaboration and remote work opportunities, with four days a week in the office.

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

As a Data Scientist with 3-8 years of experience, you will collaborate with interdisciplinary scientists, IT, and engineering professionals to solve critical problems and support business decision-making. Strong communication and organizational skills are essential, paired with a problem-solving attitude. Key expertise required for this role includes at least 3 years in analytics, particularly with big data solutions. You should have Subject Matter Expertise (SME) in Statistics, Analytics, Data Science, Machine Learning, Deep Learning, Big Data Platforms (SQL, Hadoop, Apache Spark, etc.), Programming Languages (Python and R), and Techniques such as Statistical models, ML algorithms (e.g., Random Forest, SVM), Deep Learning models (e.g., CNN, RNN), and NLP. You should be able to build proposals for analytics/data science solutions, conduct hands-on data analysis, and derive actionable insights. Experience collaborating with global teams and senior stakeholders is also valued. The ideal candidate for this role will have a strong analytical and logical mindset, be well-organized with prioritization skills, and possess an independent, self-starting attitude with ownership of tasks. You should be curious and collaborative, keen to learn, and proficient in English for a global team environment. Your educational background should include a degree in fields like Statistics, Mathematics, Operations Research, Economics, Engineering, or Information Science. Contributions on platforms like GitHub or Kaggle are advantageous for this position.,

OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forward in its evolution by becoming part of Otto Group one.O, the new central, high-performance partner for strategy consulting and technology for the Otto Group. This strengthens our mission to deliver innovative IT solutions for commerce and logistics, combining experience, technology, and a global vision to lead the digital future. OSP India’s name transition OSP India will adopt the name Otto Group one.O in the future, following our headquarters' rebranding. We want to assure you that this brand name change will not affect your role, job security, or our company culture. This transition aligns us with our global teams in Germany, Spain, and Taiwan and enhances our collaboration moving forward We are looking for a Data Scientist to join our dynamic team. In this role, you will take end-to-end responsibility for developing, deploying, and optimizing machine learning models that support marketing, budgeting, and business decision-making. You will work closely with colleagues across departments, translating data-driven insights into actionable strategies with measurable business impact. Responsibilities Design and develop machine learning models for budget allocation, marketing performance optimization, and business management . Apply classic ML methods such as XGBoost, regression models, and curve fitting to solve business challenges. Take ownership of the end-to-end data science lifecycle , from data analysis and model development to deployment and production operations. Continuously monitor, evaluate, and optimize existing models for performance and scalability. Collaborate within the data science team , working flexibly across both data science and data engineering tasks. Advise and support business stakeholders with actionable recommendations derived from model results. Requirements Strong proficiency in Python and SQL (especially using SQL within Python workflows). Expertise in machine learning algorithms (e.g., XGBoost, regression models) and solid understanding of statistical principles. Practical experience with Python data science libraries (e.g., pandas, NumPy, scikit-learn, SciPy, statsmodels, XGBoost). Ability to write and maintain production-ready code with best practices in software engineering. Experience deploying and operating models in production environments (MLOps mindset). Familiarity with cloud environments and Infrastructure as Code (IaC) concepts. Pragmatic, solution-oriented mindset with strong focus on delivering business impact . Nice-to-Have Experience with: Terraform Google Cloud Platform (GCP) Snowflake GitHub (version control, CI/CD pipelines) Knowledge of marketing and pricing processes and related models. Proficiency in German (minimum C1) for advising and collaborating with non-technical stakeholders. Benefits Flexible Working Hours: Support for work-life balance through adaptable scheduling. Comprehensive Medical Insurance: Coverage for employees and families, ensuring access to quality healthcare. Hybrid Work Model: Blend of in-office collaboration and remote work opportunities, with four days a week in the office.

Join our team as an experienced data scientist with a passion for tackling complex challenges in clean tech and climate science. If you’re also enthusiastic about making a significant impact on the energy transition and wish to be part of a pioneering startup, we would like to have you onboard. Location: New Delhi, India

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.