Data Scientist, Analytics - Music Ranking


Facebook Watch is one of the largest and fastest growing products in the Entertainment world. With the product scaling, we believe that the ecosystems that it supports should scale with it. One of those ecosystems is music – with the rights to music videos and consumption counting towards the Billboards Top 100, Facebook is in prime position to deliver relevant – and social – recommendations of what you, your friends and people in your communities are listening to. The person in this role will be responsible for leading our music ranking strategy across the FB app – our Music products will only be as good as our ability to surface the right music. You will enjoy working with one of the richest data sets in the world, industry-leading cross functional partners, and the regular ability to see your insights turn into execution. The ideal candidate will have a background in a product leadership, will have experience working with large data sets, and knows how to work with many partners and stakeholders, especially at an executive level. This ideal candidate is focused on results, is a self-starter, and has demonstrated success in using analytics to drive understanding, strategy, and the success of a product.

Data Scientist, Analytics – Music Ranking Responsibilities

  • Apply your expertise in quantitative analysis and data presentation to see beyond the numbers and understand how people enjoy Music, and what products/strategies we need to deliver the best experience possible
  • Partner with Product and Engineering teams to build better models, solve Music problems and identify trends and opportunities from both an industry and user perspective
  • Inform, influence, support, and execute product strategy and launches given your domain in Music Ranking
  • Own the data-driven insights and trends for our Music ecosystem
  • Work with members of the team and multiple partners to surface strategic issues and overall direction to product group leadership
  • Effectively communicate results, insights and data-driven narratives to the product team and company leadership

Minimum Qualifications

  • Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role
  • Analytical skills and knowledge of statistical and machine learning methods
  • Experience influencing product strategy through data-centric presentations (to product, business, and other leadership stakeholders)
  • Proven experience influencing cross-functional partners and work across teams
  • Proven experience in experimentation
  • Experience extracting and manipulating large datasets
  • Experience in SQL or other programming languages

Preferred Qualifications

  • 7+ years of experience working in an analytics organization
  • Experience in working across multi-sided ecosystems
  • Experience in Product Analytics


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About the Facebook company

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.

Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to

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Confirmed a day ago. Posted 30+ days ago.

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