Data Scientist, Product Analytics - Ads Ranking

Facebook Seattle , WA 98113

Posted 1 week ago

You can submit up to three job applications every 90 days. Be sure to apply for roles that strongly match your skills and work experience.

The Ads Ranking has a mission to make every ad impression meaningful for the 1.5+ billions of people on Facebook each day. The team uses cutting-edge ML algorithms that allows us to use our deep understanding of the users to improve the relevance and quality of advertising at a global scale and is at the heart of the Facebook ads system. We are looking for a Data Scientist who can work closely with Engineering and Product leads, drive the modeling and product strategy to make the company level impact.

Data Scientist, Product Analytics - Ads Ranking Responsibilities

  • Build long term vision and scope out the area for the team

Understand the complex E2E recommendation system and identify the bottlenecks and opportunities

Identify the gaps and develop the solutions in Machine Learning stack

Build and validate the hypothesis of modeling product ideas

Leverage data to inform the right business decision, such as designing how to evaluate model updates and whether they should be launched

Understand model stability and sources of volatility

Design and implement data-driven systems to increase the value of modeling, labeling, signal development, ranking and efficiency for all Ads Ranking teams

Drive understanding and strategy for data and features in Ads systems

Minimum Qualifications

  • BS, MS or PhD Degree in Statistics, Computer Science, Econometrics, or similar domain
    5+ years of experience working in an analytics organization

Genuine interest in going into the data to build theory and tell story from it

Proven Machine Learning sense and statistical knowledge

Experience working independently and as a member of a cross-functional team

Experience in querying and manipulating large datasets for analysis

Python and SQL experience

Experience answering big picture questions by framing the business question into an analytical plan and communicate to stakeholders

Strategic thinking and can drive the direction of the team

Preferred Qualifications

  • Ads/Advertiser experience

Experience with large scale Machine Learning systems such as search/recommendation

Experience in leading large projects

Locations

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 accommodations-ext@fb.com.



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