Senior Analytics / Data Science Engineer
Lister Digital (company site, opens in a new tab)5–8 yrsChennaiOn-siteDirect career pageEst. 12–22 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and own data infrastructure for analytics and machine learning workflows ensuring data accuracy and performance.
- Deliver production-grade data solutions in collaboration with data science, engineering, and business teams.
- Drive decisions by providing reliable, optimized data environments with attention to cost and quality.
Minimum Requirements
- 5+ years of experience in analytics engineering, data engineering, or equivalent technical role.
- Strong hands-on SQL skills with deep Snowflake experience including performance tuning and warehouse management.
- Proficiency in Python for data tasks (pandas, NumPy, scripting, and testing).
- Solid foundation in statistics: distributions, sampling, hypothesis testing, regression, and confidence intervals.
Ideal Candidate Profile
- Experience owning end-to-end data outcomes and frameworks for data quality and accuracy, not just task completion.
- Comfortable working across data engineering and data science workflows with understanding of feature engineering and model evaluation.
- Proactive ownership approach with focus on investigation, continuous improvement, and delivering production-grade solutions.