Data Scientist II, Tech

20 hours ago

Hyderabad, Telangana, India Uber Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the Role

We are looking for a highly driven and experienced Data Scientist to join Uber's FinTech - Data Science team. In this role, you will have the amazing opportunity to shape how Uber understands and optimizes its financial performance across diverse business lines. You'll partner closely with Data Science, Product, Engineering, Finance, and other cross-functional stakeholders on fast-moving, high-stakes problems. A deep analytical and science passion and the ability to execute key business priorities are a must for this role. Your performance is measured by the insights you give, communication effectiveness, and the initiative to drive ideas and implement them into action

**

What the Candidate Will Need / Bonus Poin**

ts---- What the Candidate Will Do --

  1. --Analyze large volumes of financial and operational data to extract actionable insights, with a focus on key financial and business metri
  2. csDevelop models to forecast financial metrics, detect anomalies, and support strategic decision-making across Uber's financial system
  3. s.Partner with stakeholders across Finance, Product, Engineering, and ML teams to design, prototype, and productionize end-to-end data science solution
  4. s.Build end-to-end data pipelines and self-serving dashboards. Automate whatever you ca
  5. nCommunicate your findings to cross-functional peers and managemen
  6. t.Build tools and documentation that enable operational teams to independently explore financial metrics and monitor key performance indicator
  7. s.Investigate and resolve discrepancies across multiple financial systems and datasets, ensuring consistency and trust in reported metri
  8. csBuild effective visualizations to communicate data to key decision-make
  9. rsGet a deep understanding of the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data science practic

e.

---- Basic Qualifications -

  1. ---Bachelor's degree with 2+ years, or Master's degree with 1+ years, of relevant industry experience in Data Science or similar rol
  2. es.Advanced SQL proficiency and strong understanding of data modeli
  3. ng.Solid foundation in statistical methods and data exploration techniqu
  4. es.Experience building dashboards or visualizations using Tableau, Plotly, Looker, or similar platfor
  5. ms.Strong communication skills, with the ability to translate data findings into clear recommendations to cross-functional stakehold

ers

---- Preferred Qualifications

  1. ----Experience in Python/R for data analysis, modeling, and pipeline automat
  2. ion.Experience developing forecasting or anomaly detection models, ideally in financial or operational dom
  3. ainsDemonstrated ability to decompose complex business problems into structured analytical approa
  4. chesProven success in cross-functional collaboration and stakeholder engagem
  5. ent.Prior exposure to finance or related industries is a

plus

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