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Director - Decision Science

Director - Decision Science

ConfidentialBengaluru / Bangalore, India
6 days ago
Job description

Who we are :

Money. A subject that's always on our mind. We go through a rollercoaster of emotions when it comes to money. That's why at Jupiter, our mission is to enable people to improve their relationship with money.

We are a financial services platform that leverages technology to offer our customers seamless and user-friendly products related to banking, loans, and investments. So whether it's a savings account, credit cards, investment and payments, it's all on Jupiter. We also help users cut through the banking jargons, offer smart insights based on spending and provide users with a range of new age features to enable and make sense of their finances.

Our journey so far :

Jupiter was founded in 2019 by Jitendra Gupta. Best known as Citrus Pay's founder, Jiten found himself wondering why personal finance experiences were not customer-centric when everything else like food ordering and entertainment were. That's how our journey began in 2019, with a simple, powerful idea : to create a modern, customer-centric experience that empowers individuals when it comes to their money.

From our humble beginnings, we've strived relentlessly to make managing money easier. In 2021 when we launched we had a waitlist with over 100,000 people eager to experience the world of Jupiter - and within 10 months we crossed 1 million users. Today, we have 2.7 million + happy users on Jupiter.

Our Insights feature today tells how much and where you've been spending automatically, even on your other savings accounts! Our Edge CSB Bank RuPay credit card is getting a lot of love for it's head-turning transparent design, not to mention it being a rewarding experience. Our No-Penalty SIP and Daily SIP at Rs 10 / - has helped scale our investments business and we have over 100,000 users investing on our platform to fulfill their money aspirations.

We've embraced cutting-edge technology, harnessed the power of data analytics, and assembled a diverse team of creative thinkers and industry experts who share our vision for a more accessible, transparent, and inclusive financial ecosystem. We're now looking for like-minded folks to join the crew.

Role summary

Own Decision Science and Business Intelligence across growth, savings, insurance, credit, rewards, and PFM. Split 50% IC / 50% leadership, ship production models and insights while scaling a small, high-leverage team.

Outcomes you'll drive

  • Revenue & CM1 / CM2 / CM3 uplift; lower CAC / better LTV; controlled losses / NPAs; higher activation, retention & NPS.
  • Fast, trustworthy decisions via real-time scoring and tight experimentation.
  • Business insights for all lines of business and strategic bets (clear KPI ownership and governance).

What you'll do

  • BI + DS ownership : define KPI taxonomy, source-of-truth datasets, self-serve analytics, exec dashboards & weekly business reviews.
  • Generate insights; build & ship models : cross-sell / propensity, pricing, churn, fraud / anomaly, rewards optimization, bill-shock forecasting.
  • Run experimentation end-to-end (A / B, CUPED, causal inference / uplift); set guardrails and success metrics.
  • Stand up production DS : feature store, real-time inference, monitoring / drift, ML observability & rollback.
  • Partner with Product / Credit / Marketing / Eng to turn insights into launches; write crisp PRDs for DS / BI work.
  • Hire / mentor 6–10 data scientists / analysts; set the bar on code, reviews, and documentation.
  • Must-haves

  • Relevant experience of 5–7 yrs in applied DS in consumer fintech / e-comm / payments; recent hands-on Python + SQL is non-negotiable. Total experience should not exceed 10 years.
  • Shipped models to prod (batch and streaming).
  • Tooling : sklearn / LightGBM / XGBoost (PyTorch nice-to-have), Databricks / Spark, Snowflake / BigQuery, AWS / GCP / Azure; BI stack (e.g., Power BI / Metabase).
  • Strong causal / experiment design, metric design, and stakeholder communication.
  • Data privacy, model risk, and responsible AI for India
  • Skills Required

    BigQuery, Power Bi, Sklearn, Sql, Pytorch, Gcp, snowflake , XGBoost, Spark, Databricks, Azure, Python, Aws

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    Director Science • Bengaluru / Bangalore, India

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