Job Description

The Responsibility & Privacy team is responsible for tackling rapidly evolving societal expectations about responsible and private use of data, ads, and AI/ML. The goal of this organization is to build scalable solutions that balance privacy, fairness and revenue to maximize societal value. We are looking for a Data Scientist who can partner closely with cross-functional partners in Engineering, Product, Legal and Policy to define scalable solutions for responsible data use across the company.

Data Scientist, Analytics - Ads Fairness Responsibilities

* Identify gaps and develop solutions for responsible data use within the ads ecosystem

* Understand the complex end to end ads delivery system and identify the bottlenecks and opportunities within area of expertise

* Leverage data to inform the right business decision by conducting complex analyses, designing experiments, and operationalizing topline metrics

* Effectively report on analysis and experimentation results to influence the direction of the team and ads organization

* Build and validate hypotheses for modeling data-driven ads product ideas

* Build long term vision and scope out area of investment for the team

* Drive understanding and ads fairness strategy for Facebook and end users

* Mentorship of team members

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

* SQL and Python experience

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

* Strategic thinking and experience driving the direction of the team

Preferred Qualifications

* Ads and Advertiser experience

* Experience with large scale Machine Learning systems such as search and 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.