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3 days ago
As a Data Scientist, you will play a pivotal role in driving business growth through data-driven decision-making.
We are seeking an accomplished professional with a proven track record of delivering high-impact analytics solutions that drive strategic outcomes.
- Your primary responsibility will be to design and develop end-to-end data pipelines that extract valuable insights from diverse sources.
- You will leverage advanced propensity models to solve complex business problems, driving measurable improvements in operational performance.
- Using real-time dashboards (Power BI/Tableau), you will facilitate data-driven storytelling, empowering stakeholders to make informed decisions.
- You will lead statistical analysis initiatives to optimize field force efficiency and collection strategies, ensuring maximum ROI.
- A/B testing will be a key area of focus, as you collaborate with cross-functional teams to refine operational interventions and repayment solutions.
- Data integrity is paramount; you will ensure seamless data flows across high-volume transactional systems.
- As a mentor, you will cultivate junior team members' skills in operational analytics best practices, fostering a culture of excellence.
- 3-8 years of experience in Data roles at operations-heavy startups (fintech, logistics, e-commerce, or similar)
- For Senior Candidates (4-8 yrs): Proven propensity modeling experience is mandatory
- Degree in Statistics, CS, Economics, or related quantitative field
- Expertise in: SQL + Python (Pandas, NumPy, Scikit-learn), Power BI/Tableau, Statistical modeling for operational decision-making
- Startup-ready mindset: Adaptable, proactive, and comfortable with ambiguity
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