Senior Data Scientist - Chennai - GOM

Senior Data Scientist - Chennai - GOM

• Independently engage with client leadership and lead project discussions to align on scope, timelines, and deliverables.
• Provide analytical leadership across multiple initiatives and ensure timely, high-quality delivery.
• Support additional project needs as required.
• Design, develop, and deploy analytical models including forecasting, classification, regression, and segmentation.
• Conduct A/B testing, causal analysis, and optimization modeling (linear, mixed-integer, multi-objective).
• Perform rigorous model validation, diagnostics, monitoring, and maintain comprehensive documentation.
• Execute complex data analyses and synthesize findings into actionable insights.
• Develop executive-ready presentations and dashboards using Tableau and Power BI.
• Present results clearly to internal teams and external stakeholders.
• Partner with business and engineering teams to gather requirements, define business rules, and translate needs into technical specifications and documentation.
• Integrate data from multiple sources and ensure data accuracy and consistency.
• Develop and maintain data-quality monitoring and reporting frameworks.
• Conduct root-cause analysis and validate database changes prior to release.
• Use Databricks for scalable data processing and analytics workflows.
• Collaborate with engineering teams to implement MLOps practices, including MLflow pipelines, model deployment, monitoring, and lifecycle management.
• Use Git/GitLab for version control and collaborative development.
• Ensure adherence to data governance, privacy, compliance, and regulatory standards.
• Develop KPIs and metrics that inform business decisions.
• Communicate effectively with business and technical stakeholders, including handling sensitive or complex inquiries.

• Advanced SQL and Python for data analysis and modeling.
• Strong experience working with databases and data warehouses.
• Hands-on experience with Databricks for large-scale data processing and machine learning.
• Proficiency in Tableau and/or Power BI for visualization and reporting.
• Experience with Git/GitLab for version control.
• Strong skills in Excel and PowerPoint.
• Solid understanding of data governance, privacy, and compliance standards.

• Experience with SAS and R.
• Familiarity with automotive or VIN-related data.
• Experience working with large, complex data structures and MDM concepts.
• Exposure to MLOps practices and frameworks.

• Education: Bachelor’s degree in IT, Computer Science, Engineering, or equivalent.
  
  
  

Experience Level