Data Scientist II - Safety Marketplace

Uber
San Francisco, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 158K

Job location

San Francisco, United States of America

Tech stack

Artificial Intelligence
Data analysis
Build Automation
Data Visualization
Python
Machine Learning
Tableau
Usage Analysis
Sql Optimization
Large Language Models
Generative AI
Information Technology
Marketplace

Job description

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.

Requirements

Do you have experience in Tableau?, Do you have a Bachelor's degree?, * 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.
  • Preferred Qualifications -
  • Hands-on experience in handling large scale production ML/GenAI/LLM systems
  • Prior experience in safety, risk, integrity or fraud

Benefits & conditions

For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Apply for this position