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2 days ago
We are seeking a Data Scientist to join our team. In this role, you will be responsible for designing data pipelines, developing propensity models, creating real-time dashboards, and performing statistical analysis.
Key Responsibilities:- Design and develop end-to-end data pipelines for operational data from diverse sources
- Develop advanced propensity models to solve core business problems
- Create real-time dashboards for operational performance tracking
- Perform statistical analysis to optimize field force efficiency and collection strategies
- 3-8 years of experience in Data roles at operations-heavy startups (fintech, logistics, e-commerce, or similar)
- Degree in Statistics, CS, Economics, or related quantitative field
- Expertise in SQL, Python, Power BI/Tableau, and statistical modeling for operational decision-making
- Built data solutions for field operations or high-frequency workflows
- Hands-on propensity modeling for customer behavior prediction
- Cloud platforms (AWS/Azure/GCP) + Big Data tools (Spark/Hadoop)
- Ownership culture: Drive analytics for India's next-gen recovery infrastructure
- Operational impact: Your models directly optimize field force actions
- Growth environment: Lean startup where you'll shape data strategy
- Flexible productivity: Work when you're most effective
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