Data Science Manager - Paid Marketing

Employer Provided Salary: $165,000-$183,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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About the Role
We are looking for an outstanding data scientist manager to lead the performance marketing measurement team. This is a new team that will be responsible for providing in-depth analyses for all paid channel measurement and help the business make better decisions! You will be the guide in paid marketing metrics, business strategies of our key markets, and our paid marketing strategies.
What You'll Do

  • Develop a team of 2-3 highly skilled data scientists
  • Partner with internal collaborators including Operations, Finance, Product and the Channel team to develop paid marketing strategies and budget decisions based on data insights
  • Conduct strategic analysis on the intersection of business and paid marketing results
  • Synthesize business insights and collaborate with measurement applied scientists to find opportunities to improve the current paid marketing measurement framework
  • Generate ideas for exploratory analysis to shape paid marketing strategies

Basic Qualifications

  • M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
  • Minimum 2 years of management experience
  • Basic understanding of experimental design (such as A/B experiments) and statistical methods
  • Advanced SQL expertise
  • Experience building intuitive and impactful dashboards and data visualizations that drive business decisions (eg with Tableau, Mixpanel, Looker, or similar)
  • Ability and experience in extracting insights from data, and summarizing learnings / takeaways


Preferred Qualifications

  • Experience with Paid Marketing domains
  • Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations.
  • Previous experience in advertising tech (e.g. bidding model, attribution, targeting, 3rd party data integration, etc) is a plus.
  • Work experience in applying advanced analytics, applied science, or causal inference to marketing problems.
  • A passion for data quality
  • Excellent judgment, critical-thinking, and decision-making skills


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 completing this 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.
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 link https://www.uber.com/careers/benefits.

More Information on Uber
Uber operates in the 3PL: Third Party Logistics industry. The company is located in San Francisco, CA, New York City, NY, Chicago, IL and Seattle, WA. Uber was founded in 2009. It has 21000 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Friends outside of work, Eat lunch together, Intracompany committees and OKR operational model. To see all 83 open jobs at Uber, click here.
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