Apply in 3 Minutes Data Scientist
1 day ago
Job Description - Grade Specific Data Scientist / Machine Learning Engineer Location: Pan India Experience: 6–12 years Why Join Capgemini? Be part of a global team where innovation meets impact. At Capgemini, we empower professionals to shape their careers while solving real-world challenges through data-driven technologies. Help build scalable, intelligent solutions that transform industries. Your Role As a Data Scientist / ML Engineer, you’ll design and deploy advanced models, analyze large datasets, and deliver actionable insights. You’ll collaborate across teams to build robust data pipelines and scalable cloud solutions. Responsibilities - Develop ML models using Python, scikit-learn, TensorFlow, or PyTorch - Perform data cleaning, transformation, and EDA with pandas - Apply statistical methods: hypothesis testing, regression, ANOVA, probability - Implement supervised/unsupervised learning, feature engineering, model tuning - Create visualizations using Matplotlib, Seaborn, or ggplot - Work with big data tools: Hadoop, Spark, distributed databases - Write optimized SQL queries and manage relational databases - Contribute to data engineering: integration, warehousing, architecture - Deploy solutions on Microsoft Azure and Azure ML - Collaborate using Git for version control - (Optional) Apply deep learning models like YOLO for object detection Your Profile - Bachelor’s/Master’s in CS, Data Science, Statistics, Engineering, or related field - 4–8 years in data science, ML, or AI development - Strong Python skills and experience with data science libraries - Solid understanding of statistics, ML algorithms, and data modeling - Experience with cloud platforms, big data tools, and databases Preferred Skills - Experience with YOLO, OpenCV, or computer vision frameworks - Familiarity with CI/CD pipelines for ML deployment - Knowledge of MLOps practices and tools What You’ll Love About Us We support flexible schedules and remote work to promote work-life balance. Our inclusive culture fosters growth, innovation, and continuous learning in emerging technologies like cloud, AI, and data engineering. About Capgemini Engineering Capgemini Engineering is a global leader in engineering services, helping the world’s most innovative companies unleash their potential—from autonomous vehicles to life-saving robots. We deliver unique R&D and engineering services across industries. About Capgemini Capgemini is a global transformation partner with 360,000 team members in over 50 countries. With deep industry expertise and a 55-year legacy, we help clients address their full business needs—from strategy to operations—driven by our purpose: unleashing human energy through technology for an inclusive and sustainable future. Software Engineering Focus - Applies scientific methods to solve software engineering problems - Develops and maintains software solutions - Exercises original thought and supervises technical work - Builds expertise aligned with professional standards - Collaborates as a team player with engineers and stakeholders
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