Sr. Data Scientist - Road Safety

Key Skills

A/B Testing, Data Visualization, Looker, Microsoft-Excel, Mixpanel, Product Analytics, SQL, Tableau

Job Description

About the Role

We are looking for a Data Scientist to join the Road Safety team. The ideal candidate will be working closely with mobile and backend engineers and product managers to create and complete the direction of the product development. This will include providing an end-to-end data science workflow that includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts, and eventually impact estimation.

The product development roadmap includes several projects both on customer-facing mobile apps as well as internal tools that require deep knowledge of machine learning, advanced statistics, causal inferential techniques, and, some knowledge about natural language processing would be preferred.

What You Will Do

• Develop statistical models/analysis and apply them to solve real-time problems
• Create practical data insights and solutions from Uber’s large datasets
• Employing a mastery of statistical analysis, including descriptive statistics, correlation, regression, and confidence intervals
• Designing metrics and developing SQL queries to generate reports
• Own experimentation related to product development and partner with engineering, design, and product teams during the product development cycle

We’ve noticed that the title “Data Scientist” represents a variety of work across the industry.If you're more passionate about building machine learning (ML) or econometric models, please check out the Applied Scientist roles on our career page!

Basic Qualifications

• MS. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 2+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Product Analyst or equivalent)
• Advanced SQL expertise
• Basic understanding of experimental design (such as A/B experiments) and statistical methods

Preferred Qualifications

• Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
• 5+ years tech industry experience in consumer facing product analytics
• Ability and experience in extracting insights from data, and summarizing learnings/takeaways
• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
• Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
• Advanced experience with experimental design and statistical methods such as causal Inference.
• Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds Strong judgment, critical-thinking, and decision-making skills
• Ability to solve complex business problems that cross multiple product/project areas and teams
• Balance attention to detail with swift execution

For San Francisco, CA-based roles: The base salary range for this role is $165,000 per year - $183,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following linkhttps://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completingthis form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.