What are the responsibilities and job description for the Data Scientist II - Safety Marketplace position at Uber?
About The Role
We are looking for a full stack Data Scientist to join the Safety Marketplace Science team. In this role, you'll have the amazing opportunity to help contribute to making the Uber platform as safe as possible by leveraging GenAI/LLM, analytics and machine learning. You'll have a chance to work with a highly cross-functional team, including applied scientists, product management, engineering, and operations to deliver impact. This will include owning the end-to-end GenAI science workflow to build automation tools, conduct experimentations, derive insights and drive cross functional actions. You'll be able to present findings to partners and leadership.
What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
We are looking for a full stack Data Scientist to join the Safety Marketplace Science team. In this role, you'll have the amazing opportunity to help contribute to making the Uber platform as safe as possible by leveraging GenAI/LLM, analytics and machine learning. You'll have a chance to work with a highly cross-functional team, including applied scientists, product management, engineering, and operations to deliver impact. This will include owning the end-to-end GenAI science workflow to build automation tools, conduct experimentations, derive insights and drive cross functional actions. You'll be able to present findings to partners and leadership.
What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Product Analytics: conduct experimentation and deep-dive analyses to improve safety products and drive decisions.
- ML Data Science: collaborate with applied scientists and ML engineers to evaluate new features and improve ML production systems.
- GenAI Development: build GenAI tools to automate workflows to improve cycle speed of detection, operation, analytics and insight generations.
- Cross-Functional Influence: Partner closely with Product Managers, Engineers, and Policy teams to translate data-driven insights into critical product features and company-wide safety policies.
- Ph.D., M.S. or Bachelor's degree in Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative field. 1 year (with Ph.D.) or 3 years (with M.S. or B.S.) of proven experience in product analytics or AI/ML/GenAI data science space.
- Advanced SQL and Python expertise. Familiar with BI visualization tools i.e. tableau. Hands on experience in conducting large scale online experiments. Solid statistics background.
- Prior experience building LLM/GenAI tools to automate workflows.
- Hands-on experience in handling large scale production ML/GenAI/LLM systems
- Prior experience in safety, risk, integrity or fraud
Salary : $142,000 - $158,000