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Meta Data Science Manager - Global Business Marketing in Helena, Montana


Global Business Marketing (GBM) contributes directly to Meta's mission by connecting advertisers and businesses with their customers and helping them grow through a variety of advertising solutions. We succeed when we help our customers grow their business. The GBM team is searching for a Data Science Manager. The Data Science Manager will manage a team of data scientists who will use data analysis to understand customer profiles, produce reports to track our business, build models to provide insight into our customer base, identify opportunities, and measure the impact of our Marketing strategy. Ideal candidates love breaking down problems, building solutions, delivering actionable and data-driven insights, and working in a fast-paced, dynamic environment.As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Required Skills:

Data Science Manager - Global Business Marketing Responsibilities:

  1. Lead a team of data scientists to develop strategies for our marketing solutions that serve hundreds of millions of businesses, creators, and partners around the world.

  2. Drive analytics projects end-to-end in partnership with Marketing, Channel Experts, Engineering, and cross-functional teams to inform, influence, support, and execute marketing strategy and investment decisions.

  3. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

  4. Influence marketing strategy direction through clear and compelling presentations to leadership.

  5. Identify and measure success of marketing efforts through goal setting, forecasting, and monitoring of key performance metrics to understand trends.

  6. Define, understand, and test opportunities and levers to improve our marketing strategy, and drive roadmaps through your insights and recommendations.

  7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.

Minimum Qualifications:

Minimum Qualifications:

  1. BA/BS in Computer Science, Math, Statistics, Physics, Engineering, Statistics or other technical field.

  2. A minimum of 12 years of work experience (8+ years with a Ph.D.) in applied analytics, including a minimum of 4 years of experience managing analytics teams.

  3. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

  4. Experience initiating and completing analytical projects with minimal guidance. Experience communicating results of analysis to senior leadership.

Preferred Qualifications:

Preferred Qualifications:

  1. Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.

  2. Experience working in technology, consulting, or finance.

  3. Proven track record of leading high-performing analytics teams.

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at