Lead Data Scientist

Overview

Lead the architecture, design and delivery of scalable data platforms, pipelines and cloud solutions that power global pricing decisions, while providing technical leadership and mentoring to the team.

What you'll do

• Lead the architecture, design, and delivery of scalable data platforms, pipelines, and data products.
• Set technical direction and establish engineering standards for the team.
• Own delivery of complex data engineering initiatives from design through production.
• Balance hands-on development with technical leadership, design reviews, and code reviews.
• Mentor engineers and help develop technical capabilities across the team.
• Establish best practices for Python, Git, CI/CD, testing, data quality, and observability.
• Partner with business and technical stakeholders to prioritize work and translate complex requirements into solutions.
• Identify and resolve technical risks, dependencies, performance issues, and production challenges.
• Evaluate emerging technologies and drive adoption where they improve engineering effectiveness.

What you'll need

• Experience leading technical teams, projects, or major engineering initiatives.
• Extensive experience designing and building scalable production data platforms and pipelines.
• Strong Python development skills and modern software engineering practices.
• Experience architecting scalable, secure, and resilient cloud solutions.
• Ability to mentor engineers, provide technical guidance, and grow team capabilities.
• Ability to influence stakeholders, navigate ambiguity, and translate business problems into technical solutions.

Nice to have

• Extensive experience in designing and developing software applications in Python.
• Experience with AI assisted software development (ex. Github Copilot, Cursor, Codex, etc)
• Extensive experience working with Git version control
• Extensive experience deploying software using CI/CD tools such as Github Actions, Azure Devops etc.
• Experience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS
• Experience with databases such as PostgreSQL, Snowflake, Oracle, etc.
• Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
• Demonstrated architecture experience
• Experience leading teams

Details

• Based in Chennai, India; relocation assistance is available.
• Works a 5-day-a-week schedule in the office.
• EMEA shift: 1:00 PM to 10:00 PM IST.
• Visa sponsorship is not available.
• Employment type not stated.