
Data Scientist - Developer Analytics
While Data Scientists in this role may extend and apply machine learning or statistical models, if you're interested in a role focused on advanced modeling, please check out our Applied Science roles instead. Refine ambiguous questions and generate new hypotheses about our current experience and productivity through a deep understanding of the data, our metrics, and feedback from our developers and platform development teams. Design experiments and interpret the results to draw detailed and impactful conclusions. Define how our teams measure success, by developing Key Performance Indicators and other business metrics, in close partnership with our stakeholders in engineering and product management. Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of projects and programs in our planning initiatives.
Basic understanding of experimental design (such as A/B experiments) and statistical methods
Ability to solve complex business problems that cross multiple product/project areas and teams
Experienced in creating and managing ETLs
Advanced experience with experimental design and statistical methods such as causal Inference.
Linear modeling
Time series analysis
Great time management
Strong storytelling skills
Process Improvement
flexibility
Organizational skills
Self-Driven
Communication Skills
Multitasking Skills
Problem-Solving
Attention to detail and accuracy
According to JobzMall, the average salary range for a Data Scientist - Developer Analytics in 190 Mathilda Pl, Sunnyvale, CA 94086, USA is between $107,731 and $167,873. This range is based on data from a variety of sources, including job postings, salary surveys, and employer research. The salary range can vary depending on factors such as company size, industry, and location.
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Uber Technologies, Inc. is an American multinational transportation network company offering services that include peer-to-peer ridesharing, ride service hailing, food delivery, and a bicycle-sharing system. The company is based in San Francisco and has operations in over 785 metropolitan areas worldwide.

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