Senior Data Scientist

This role is for one of the Weekday's clients

Salary range: Rs 1200000 - Rs 2000000 (ie INR 12-20 LPA)

Min Experience: 5 years

Location: Chennai

JobType: full-time

Key Responsibilities

• Lead client and stakeholder engagements independently, aligning on project scope, timelines, and deliverables
• Provide analytical leadership across multiple initiatives, ensuring high-quality and on-time execution
• Design, build, and deploy advanced analytical and machine learning models including forecasting, classification, regression, and segmentation
• Perform A/B testing, causal inference, and optimization modeling (linear, mixed-integer, and multi-objective optimization)
• Conduct robust model validation, performance monitoring, and maintain thorough technical documentation
• Execute complex data analyses and translate insights into actionable business recommendations
• Develop executive-level dashboards, reports, and presentations using Tableau and Power BI
• Communicate analytical findings clearly to both technical and non-technical stakeholders
• Collaborate with business and engineering teams to gather requirements and convert business needs into technical specifications
• Integrate data from multiple sources while ensuring data accuracy, consistency, and reliability
• Build and maintain data quality checks, monitoring frameworks, and reporting processes
• Perform root-cause analysis and support validation of data and system changes prior to release
• Leverage Databricks for scalable data processing, advanced analytics, and machine learning workflows
• Partner 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 compliance with data governance, privacy, regulatory, and security standards
• Define and track KPIs and metrics that support data-driven business decisions

Required Skills

• Strong expertise in SQL and Python for advanced data analysis and modeling
• Extensive experience working with relational databases, data warehouses, and large datasets
• Hands-on experience with Databricks for large-scale analytics and machine learning
• Proficiency in data visualization and reporting using Tableau and/or Power BI
• Experience with Git/GitLab or similar version control systems
• Advanced proficiency in Excel and PowerPoint for analysis and executive communication
• Solid understanding of data governance, privacy, and compliance frameworks

Preferred Skills

• Experience with SAS and/or R
• Familiarity with automotive, VIN, or similar domain-specific datasets
• Experience working with complex data models, MDM concepts, and enterprise-scale data environments
• Exposure to MLOps tools, practices, and production-grade machine learning systems

Key Skills

• SQL
• Python
• Databricks
• Tableau
• Power BI