Data Scientist II Job Vacancy in Uber Hyderabad, Telangana – Latest Jobs in Hyderabad, Telangana

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Company Name : Uber
Location : Hyderabad, Telangana
Position : Data Scientist II

Job Description : The FinTech – Data Analytics team at Uber is looking for a skilled Data Analyst to join us and make significant contributions to our mission to streamline and optimize Finance infrastructure. In this position, you will get an amazing opportunity to play a critical role in implementing/building a wide array of financial systems and derive insights from financial data. You will work closely with senior leaders in Product, Data Science, Engineering, and Finance on fast moving, high-stakes problems. A deep analytical passion and the ability to execute on key business priorities is a must for this role (financial knowledge is not expected to apply for this role). Your performance is measured by the insights you give, effectiveness of communication, and the initiative to drive ideas and implement them into action.
What you’ll need:
M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor’s degree, a minimum of 2+ years of industry experience as a Product Analyst or equivalent)
Advanced SQL expertise
Ability and experience in extracting insights from data, and summarizing learnings / takeaways
Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
Basic understanding of experimental design (such as A/B experiments) and statistical methods
Preferred Qualifications:
Experience with either Python or R
Experience working on analytics in accounting, finance areas
Demonstrated aptitude toward data storytelling and root cause Analysis using data
Ability to build models to detect anomalies and resolve financial imbalances
Ability to understand critical interdependencies across functions and divisions, as well as the short and long-term trade-offs of business decisions.
What you’ll do:
Work with accounting, engineering, product, data science, finance and other business stakeholders in mining and analyzing financial and entity-level data to extract key trends and insights.
Build effective visualizations to communicate data to key decision-makers.
Build models to detect anomalies and resolve financial imbalances; investigate and resolve data discrepancies between systems.
Understand critical interdependencies across functions and divisions, and grasps the short and long-term trade-offs of business decisions.
Explore FinTech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies.
Plan and lead complex projects, prioritize tasks and map stakeholders appropriately
Be a trusted advisor to Product Management and business leadership.
Communicate your findings to cross-functional peers and management.
Get a deep understanding about the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data analytics practice.

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