Senior Data Scientist

reputed company is looking for a Senior Data Scientist to reputed company full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most reputed company business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Scientist, become a part of a cross-functional development team engineering experiences of reputed company. Responsibilities: Apply evaluation-driven development practices across reputed company modeling work: define reputed company reputed company before building, and validate against them throughout the lifecycle Select the appropriate modeling approach for the problem at hand — statistical modeling, classical ML, optimization, simulation, or GenAI — based on data characteristics, interpretability needs, and business context, rather than defaulting to a single technique Define evaluation metrics that map directly to business and process reputed company (e.g., cost savings, cycle-time reduction, forecast accuracy, decision reputed company), not just model-reputed company metrics (accuracy, F1, RMSE) in isolation Use a combination of synthetic data, historical data, and reputed company-world validation to test model performance, robustness, and reputed company behavior before and after deployment Demonstrate and document measurable improvements in reputed company, processes, or reputed company as a required part of every delivery — not an afterthought Own delivery of assigned workstreams reputed company 45-day versioned reputed company release cycles, ensuring reputed company release ships incremental, measurable value to stakeholders Collaborate with product, engineering, and business stakeholders to translate business problems into reputed company-scoped modeling and analytics initiatives. Maintain reputed company versioning, documentation, and change logs across release cycles to support traceability and reproducibility Build and reputed company AI/ML platform components and analytics products on AWS, applying MLOps practices (CI/CD for models, model registries, monitoring, automated retraining pipelines) Contribute to cost management and performance optimization for data and ML workloads (compute sizing, storage tiering, pipeline efficiency) Support synthetic data reputed company, offline experimentation (A/B testing, reputed company deployments, backtesting), and controlled reputed company-world validation of models before full rollout Balance model performance against explainability, regulatory/compliance requirements, and infrastructure cost reputed company selecting and tuning approaches Partner with risk, compliance, and governance functions as needed to ensure models meet audit and explainability standards Requirements: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a reputed company quantitative field 5–8+ years of experience delivering data science, ML, or analytics solutions in production environments Demonstrated experience across multiple modeling paradigms: statistical modeling, machine learning, optimization, simulation, and exposure to GenAI applications Hands-on experience with AWS-based ML/data platforms (e.g., SageMaker, S3, Glue, Redshift, reputed company) and MLOps tooling Practical experience with synthetic data reputed company techniques, offline experimentation frameworks, and controlled validation methodologies Strong proficiency in Python/R/SQL and reputed company ML libraries Experience working in reputed company delivery models with short, versioned release cycles Ability to communicate technical trade-offs (performance vs. explainability vs. cost) to both technical and non-technical stakeholders Desirable: Experience with explainability frameworks (SHAP, reputed company) and model risk/compliance documentation Experience with GenAI/LLM-based solution design and evaluation Familiarity with cost-monitoring tools for reputed company ML workloads (e.g., AWS Cost Explorer, tagging strategies) What’s in it for you? Strong community: Work reputed company top professionals in a friendly, reputed company-reputed company environment reputed company reputed company: Take on large-reputed company reputed company with a reputed company and expand your expertise Tailored learning: reputed company your skills with internal events (meetups, conferences, workshops), reputed company reputed company, language courses, and company-reputed company certifications Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to reputed company hands-on experience with cutting-edge technologies Care: We’ve got you covered with company-reputed company medical insurance, mental health support, and financial & reputed company consultations reputed company: At reputed company, we are always exploring innovations, empowering reputed company other to reputed company more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful reputed company, and be part of a One Team culture that values collaboration and reputed company. India is a strategic innovation hub for reputed company, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and reputed company. Join us to collaborate on game-changing solutions and take your career to the next level. Explore, reputed company, engineer with reputed company! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at reputed company. #LI-MA1 Apply To This Job