Data Scientist - Hyderabad / Secunderabad @ Uber

Job Description

What Youll Do

Analyze key data assets to understand our payment experience(s) Explore data to find opportunities for improving the overall user experience Collaborate with Product Management and business leadership in making product and business decisions based on data insights and experiment results Communicate your findings to cross-functional peers and management

What Youll Need

M.S. or Bachelors degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields At least 3 years of working experience in Advanced SQL Experience in Python is a huge bonus point

Experience with data visualization tools, e.g., Tableau, Mixpanel, Looker, or similar Be flexible to pick up high priority ad-hoc tasks from time to time Ability to deliver on timelines and prioritize tasks while maintaining quality and detail Ability to learn and adapt to new methodologies for data collection and analysis Effective presentation skills to communicate data and insights to business partners A little bit of PySpark

Understanding the basis of machine learning and/or statistical modeling Basic understanding of A/B testing and analytics Ability to extract insights from data, and summarize findings/takeaways Prior experience within the payments industry is desirable Be able to work in a self-guided manner

Job Classification

Education

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   Product management Computer science Statistical modeling Business leadership Analytical Machine learning Data collection data visualization SQL Python