Senior Analytics / Data Science Engineer
Bounteous (company site, opens in a new tab)5–8 yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted 23d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and own data infrastructure supporting analytics and machine learning workflows, ensuring accuracy and performance.
- Collaborate closely with data science, engineering, and business teams to deliver production-grade data solutions.
- Drive data accuracy and quality frameworks to support actionable business decisions.
Minimum Requirements
- 5+ years of experience in analytics engineering, data engineering, or equivalent technical roles.
- Strong hands-on SQL skills with deep Snowflake experience, including performance tuning and warehouse management.
- Proficiency in Python for data tasks (pandas, NumPy, scripting, testing).
- Solid foundation in statistics (distributions, sampling, hypothesis testing, regression, confidence intervals).
Ideal Candidate Profile
- Experienced at owning end-to-end data infrastructure outcomes rather than task execution alone.
- Comfortable navigating the interface between data engineering and data science workflows, supporting model pipelines.
- Proactive communicator with a quality-first mindset who investigates data issues and improves processes.