
Optimize Recovery Infrastructure as a Data Scientist
1 week ago
Job Title: Data Architect
">- Work with a dynamic fintech to design and develop data pipelines for operational data from diverse sources.
- Collaborate with the team to create advanced propensity models (e.g., payment likelihood, risk segmentation) to solve core business problems.
- Develop real-time dashboards (Power BI/Tableau) for operational performance tracking.
- Perform statistical analysis to optimize field force efficiency and collection strategies.
- Lead A/B testing of operational interventions and repayment solutions.
- Ensure data integrity across high-volume transactional systems.
- Mentor junior team members on operational analytics best practices.
Required Skills:
- 3-8 years in data roles at operations-heavy startups (fintech, logistics, e-commerce, or similar)
- Proven experience in SQL + Python (Pandas, NumPy, Scikit-learn)
- Power BI/Tableau expertise
- Statistical modeling for operational decision-making
- Degree in Statistics, CS, Economics, or related quantitative field
What We Offer:
- 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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