Uber Sr Scientist Tech 

United States, West Virginia 

434960448

About the Role

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

1. Refine ambiguous questions and generate new hypotheses about whether marketplace levers such as Rider and Driver Pricing, Matching, Surge etc are functioning appropriately through a deep understanding of the data, our customers, and our business.
2. Define how our teams measure success by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations, and marketing.
3. Collaborate with applied scientists and engineers to build and improve the availability, integrity, accuracy, and reliability of our models, tables etc.
4. Design and develop algorithms to increase the speed and accuracy with which we react to marketplace changes.
5. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives.

- - - - Basic Qualifications ----

1. Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
2. 6+ years of experience as a Data Scientist, Product Analyst, Senior Data Analyst, or other types of data analysis-focused functions.
3. Deep understanding of core statistical concepts such as hypothesis testing, regression, and causal inference
4. Advanced SQL expertise.
5. Experience with either Python or R for data analysis.
6. Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff, etc.).
7. Experience with exploratory data analysis, statistical analysis and testing, and model development.
8. Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways.
9. Experience with Excel and some dashboarding/data visualization (i.e., Tableau, Mixpanel, Looker, or similar).

- - - - Preferred Qualifications ----

1. Proven aptitude toward Data Storytelling and Root Cause Analysis using data.
2. Excellent communication skills across technical, non-technical, and executive audiences.
3. Have a growth mindset; love solving ambiguous, ambitious, and impactful problems.
4. Ability to work in a self-guided manner.
5. Ability to deliver on tight timelines and prioritize multiple tasks while maintaining quality and detail.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .