Data Science Manager, Integrity Foundation


Menlo Park, CA, US / Washington, DC, US / Remote
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/30/2021
  • Website:
  • Company Address: 1 Hacker Way, Menlo Park, CA, 94025

About Facebook

Facebook is a social utility that connects people with friends and others who work, study and live around them. People use Facebook to keep up with friends, upload an unlimited number of photos, share links and videos, and learn more about the people they meet.

Job Description

Integrity teams at Facebook work on a broad range of very important problems protecting people around the world.  These problems are diverse, complex and growing, from safeguarding elections to stopping hate and misinformation to protecting children from harm.  Doing this well requires Facebook to be efficient and agile, quickly understanding and responding to a broad range of risks as they emerge or evolve.  We have created and are continuing to build a suite of internal products that allow us to do this.  The Integrity Foundation team is responsible for building these products and enabling us to quickly deploy measurement, signal generation, classification, content moderation, response and user/stakeholders facing integrity products.

We are currently looking for a Data Science Manager to support Integrity Foundation teams.  As a Data Science Manager at Facebook, you will be accountable for the success of these products in partnership with Product Managers, Engineering Managers and others.  You will support a high performing team of data scientists to establish product strategy, to define the metrics that track our progress against it and to continually inform product development through high quality analysis.  Within Integrity Foundation, you and your team will be responsible for understanding the broad suite of Integrity problems and determining how we can improve our effectiveness, efficiency and agility in addressing them.  This is a highly complex space, requiring you to understand all Integrity teams/problems and build solutions that are both broadly applicable and provide high utility and understandability.  We are looking for a seasoned leader who can navigate the technical complexity of the space and the solutions while also managing and supporting a broad and diverse range of stakeholders.  This is also a highly impactful space, providing the opportunity to build global solutions that scale to a broad range of important problems and affect billions of people.

The perfect candidate will have experience building and managing world-class analytics teams, will have worked with large and complex data, and will have a track record of driving data-informed decisions.
Data Science Manager, Integrity Foundation Responsibilities

    Help build and lead a great data science team to deliver world-class products
    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 core products
    Partner with Product and Engineering teams to solve problems and identify trends and opportunities
    Inform, influence, support, and execute our product decisions
    Mine massive amounts of data and extract useful product insights
    Build/maintain reports, dashboards, and metrics to monitor the performance of our products
    Manage development of data resources, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful

Minimum Qualifications

    4+ years of experience in managing other team members in a formal or informal capacity
    6+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages
    Experience initiating and drive projects to completion with minimal guidance
    Experience communicating and representing results of analysis to senior leadership
    6+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
    4+ years of experience communicating the results of analyses to leadership teams to influence the strategy

Preferred Qualifications

    Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field
    Understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc.
    Experience with large data sets and distributed computing (Hive/Hadoop)

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 [email protected]
 (Colorado only*) Minimum salary of $198,000/year + bonus + equity + benefits
 *Note: Disclosure as required by sb19-085(8-5-20)

Related Jobs

Product Manager, Supply Chain

Facebook - Menlo Park, CA, USFremont, CA, USRemote

Open Indoor Systems Architect

Facebook - Remote

Software Engineering Manager - Machine Learning Infrastructure

Facebook - Menlo Park, CA, USRemote

Employee Relations Manager

Facebook - Menlo Park, CA, USRemote

Software Engineering Manager - Product

Facebook - Los Angeles, CA, USBellevue, WA, USAustin, TX, USMenlo Park, CA, USSeattle, WA, USWashington, DC, USBoston, MA, USNew York City, NY, USSan Francisco, CA, USRemote
Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.