refresh

Trending Companies

Trending

Jobs

JobsMeta

Director, Data Science, Groups

Meta

Director, Data Science, Groups

Meta

Menlo Park, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$253,000 - $253,000

Benefits & Perks

Learning and development stipend

Wellness benefits

Flexible PTO policy

Health, dental, and vision coverage

Required Skills

TensorFlow

Apache Spark

Python

As the Director of Data Science for Groups at Meta, you will lead the data strategy for one of the most dynamic and complex ecosystems in the social media landscape. Groups is a cornerstone of Facebook's community experience, representing a long-tailed ecosystem with strong brand affinity and uniquely valuable content. As the larger social landscape evolves, you will play a pivotal role in shaping how Groups will continue to deliver value to millions of Young Adults in the US and billions of people worldwide.

You will leverage your leadership, analytical, and strategic skills to guide a high-impact team, partnering closely with cross-functional leaders in Product, Engineering, Research, Data Engineering, and beyond. Your work will directly influence product direction, investment decisions, and the future trajectory of the Groups ecosystem.

Director, Data Science, Groups Responsibilities:

  • Strategic Leadership: Set and drive the data vision and strategy for the Groups ecosystem, identifying opportunities and challenges in a rapidly evolving product landscape.
  • Product Impact: Use data to inform and shape product development, quantify new opportunities, and guide the evolution of Groups to maximize long-term user value.
  • Cross-Functional Influence: Collaborate with senior leaders across Product, Engineering, and other functions to align on priorities, make hard tradeoffs, and provide clear, data-driven recommendations.
  • Product Analytics: Develop and refine frameworks to measure the health, quality, and growth of Groups, including SEO, Search, growth, content differentiation, and user engagement.
  • Team Leadership: Inspire, mentor, and grow a team of data scientists and analytics leaders, fostering a culture of rigor, creativity, and impact.
  • Thought Leadership: Represent Groups Data Science internally and externally, telling compelling data-driven stories and influencing the broader analytics community and executives at Meta.

Minimum Qualifications:

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field
  • 10+ years of professional experience in applied analytics, data science, or a related discipline
  • 8+ years of experience managing and scaling analytics or data science teams, including experience leading other Data Science leaders
  • Demonstrated success driving influencing product direction and strategy in large-scale, complex product environments
  • Proven ability to communicate results of analysis and strategic recommendations to executive leadership
  • Strong experience initiating and completing complex analytical projects across multiple teams and functions
  • Track record of hiring, mentoring, and retaining high-performing analytics talent
  • Advanced proficiency in data languages (SQL, Python or R) and math/statistics

Preferred Qualifications:

  • Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Economics)
  • Experience with large-scale recommendation systems
  • Familiarity with multi-sided content ecosystems
  • Familiarity with SEO and/or social media platforms

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$253,000/year to $314,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Contact & Location

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding