Senior Data Scientist

Actively Reviewing the Applications

Weekday AI (YC W21)

India, Tamil Nadu, Chennai Full-Time On-site INR 12–20 LPA

Posted 11 hours ago • Apply by April 29, 2026

Job Description

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

Requirements

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