Uber

Sr Staff Data Scientist - Core Services

3+ months agoSan Francisco, CA

About the Role

Uber's Core Services team provides the innovations in safety, support, payments, and insurance to help all users experience a smooth ride or delivery on Uber's platform. In order to do this, our processes and services need to run efficiently!

We're looking for an experienced Sr Staff Data Scientist to work directly with the VP of Core Services to identify, investigate, and determine the root cause for issues which come up within the Core Services Platform. This senior role reports to the Head of Core Services Data Science.
Note on related roles: 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.
What the Candidate Will Do
• Work closely with Uber's Core Services Product Managers, Engineers, and Operations Team to understand business and data relationships
• Prioritize, through data, product or process areas needing investigation and analysis
• Perform data analysis into issues impacting our users in order to find root cause
• Work with Core Services leadership team to suggest path to remediate issues

Basic Qualifications

• Bachelor's in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field.
• Experience with Data ETL, Data Profiling
• Experience with SQL as well as distributed data variant such as HiveQL and PrestoSQL/Trino
• Proficient with a scripting language, such Python or R, for data analysis
• Minimum 8 years as a Data Scientist, Applied Scientist, Data Engineer or equivalent

Preferred Qualifications

• Experience working with data to diagnose products and processes
• Investigative, detail-oriented, and sharp - able to detect and find the root cause for anomalies, errors, or issues
• Well-honed communication and presentation skills: able to transform a complex quantitative analysis into a succinct executive level reports
• Experience in data engineering or log analysis a plus

Client-provided location(s): San Francisco, CA, USA
Job ID: Uber-102200

Perks and Benefits

  • Health and Wellness
    • On-Site Gym
    • Fitness Subsidies
    • Wellness Program
    • FSA With Employer Contribution
    • Life Insurance
    • Vision Insurance
    • Dental Insurance
    • Health Reimbursement Account
    • Health Insurance
    • Mental Health Benefits
  • Parental Benefits and Childcare
    • Fertility Benefits
    • Paid Family Leave
  • Work Flexibility
    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks
    • On-Site Cafeteria
    • Some Meals Provided
    • Snacks
    • Pet-friendly Office
    • Casual Dress
    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
  • Vacation and Time Off
    • Sabbatical
    • Personal/Sick Days
    • Paid Holidays
    • Unlimited Vacation
    • Paid Vacation
    • Volunteer Time Off
  • Financial and Retirement
    • Performance Bonus
    • Company Equity
    • 401(K)
  • Professional Development
    • Associate Training Program
    • Work Visa Sponsorship
    • Access to Online Courses
    • Mentor Program
    • Promote From Within