Uber Staff Scientist Tech Lead Manager Maps 

United States, West Virginia 

400692537

You'll be the Science Tech Lead Manager for Maps in AMS, working closely with Engineering and Product leads to create and execute the direction of the product development in Maps. This includes crafting machine learning, statistics, or analytical solutions to achieve business goals, guiding the team's direction through data-driven insights and algorithmic thinking, and managing scientists and providing them with feedback on their work.

• Work closely with Engineering and Product leads to develop technical vision and drive the team direction through identifying opportunities and building data-driven solutions.

• Develop creative solutions and build prototypes to business problems using algorithms based on machine learning and statistics. Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.

• Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics, and conduct experiments and in-depth analysis.

• Provide technical and professional guidance, mentorship, and people management for data scientists.

• Communicate with leadership and cross-functional teams, including presentation of the Science team’s work on models, solutions, and data analytics findings.

• M.S.'s degree in Statistics, Machine Learning, Operations Research, or other quantitative fields.

• 5+ years of industry experience as an (Applied / Data) Scientist or equivalent (3+ years if holding a Ph.D. degree).

• Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.

• 1+ years of experience in managing a team of Applied / Data Scientists.

• Experience in experimental design and analysis.

• Proficiency using Python, Spark at scale with large data sets.

• Experience with tools like SQL, R in a production environment.

• Ph.D. Degree in Statistics, Machine Learning, Operations Research, or other quantitative fields.

• Experience in tech or marketplace industries.

• Proficiency in programming languages such as Java.

• Experienced in partnering with cross-functional stakeholders to execute decisions.

* 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 .