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Meta Data Scientist, Product Analytics in Topeka, Kansas


Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.Instructions on how to apply, click “Apply to Job” online on this web page.

Required Skills:

Data Scientist, Product Analytics Responsibilities:

  1. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our business products

  2. Users include all forms of businesses, salespeople, developers, and more

  3. Partner with Product and Engineering teams to solve problems and identify trends and opportunities

  4. Inform, influence, support, and execute our product strategy, decisions, and launches

  5. The Data Scientist Analytics role has work across the following four areas – Product Operations: Forecasting and setting product team goals, Designing and evaluating experiments and/or causal inference studies, Monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, Building key data sets to empower operational and exploratory analysis, evaluating and defining metrics

  6. Exploratory Analysis: Proposing what to build in the next roadmap, Understanding ecosystems, user behaviors, and long-term trends, Identifying new levers to help move key metrics, Building models of user behaviors for analysis or to power production systems

  7. Product Leadership: Influencing product teams through presentation of data-based recommendations, Communicating state of business, experiment results, etc. to product teams, Spreading best practices to analytics and product teams, Leading cross-functionally on defining and executing on analyses, including across other data scientists, data engineers, software engineers, user researchers, and others

  8. Data Infrastructure: Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, Automating analyses and authoring pipelines via SQL and Python based ETL framework

  9. Telecommute from anywhere in the U.S. permitted (remote work benefit)

Minimum Qualifications:

Minimum Qualifications:

  1. Employer will accept a Master’s degree in Mathematics, Statistics, Computer Science, Applied Economics, Civil Engineering, or related field and 24 months of experience in the job offered or in a data scientist-related occupation. Experience must include 6 months of experience in each of the following:

  2. Applied statistics, including causal inference and experimentation (i.e. A/B testing) in an industry setting, especially for complex multi-sided ecosystems and/or low sample size environments

  3. Doing complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases), or highly complex dataset

  4. Data querying languages, scripting languages, or statistical/mathematical software

  5. Exploratory analysis and market sizing to inform development of new product strategy

  6. Communicating the results of analyses and aligning cross-functional teams to influence the strategy

  7. Providing analytical support in one or more of the following: B2B/Enterprise companies, Advertising Technology/Digital Advertising, Financial Technology, Platforms/Marketplaces, Front-end tools for business customers, or Quantitative Consulting

  8. Experience in one or more of these types of analytics: Back-end quality/Performance & Reliability, Risk & Integrity, Infrastructure system design, Marketing Analytics

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 accommodations-ext@fb.com.