Data Scientist, Product - Ads Experimentation & Measurement

Facebook Menlo Park , CA 94025

Posted 2 months 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.

Ads Experimentation has a mission to maximise the value of all decisions impacting Facebook's monetization efforts such as Shops and ads delivered to 1.5+ billion people every day. We develop cutting-edge online and offline experimentation methods and tools so the thousands of decisions made by Facebook monetization teams are driven by precise and efficient measurement. We are looking for a Data Scientist with deep expertise in experimentation and causal inference, and who can partner with Engineering to drive company-level impact by solving new and complex industry problems.

Data Scientist, Product - Ads Experimentation & Measurement Responsibilities

  • Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of decision-making at scale and in the face of changing data availability

Develop understanding of complex experimentation and measurement system, as well as broader industry challenges, to identify present and future risks and opportunities

Leverage experiment usage data to prioritize areas of investment, anticipate experimenter needs, and assess novel solutions

Empower Ads Ranking ML and Ads product development to accelerate Facebook revenue growth

Work with engineering and other data scientists to build and improve experimentation methods and metrics, ensuring high-quality output and impact

Grow experimentation expertise around you, upskilling fellow data scientists, engineers, and others, to increase overall team impact

Minimum Qualifications

  • Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role

Proven experimentation experience and statistical knowledge

Experience translating business problems into analytical strategy and solutions

Experience driving team direction with data

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

Experience in querying and manipulating large datasets for analysis using languages like SQL, Python, or R

Preferred Qualifications

  • 7+ years of experience working in an analytics organization

Experience working on large scale experimentation problems such as A/B testing platforms, causal inference frameworks, adaptive experimentation, and experimentation decision guideline/guardrails deep understanding of digital advertising and industry trends (such as privacy regulations)

Experience leading large, technically complex projects that drive business value at scale

Experience technically, leading the way in identifying and developing solutions needed to address highly complex problems

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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