Data Science Manager, Analytics

Meta; Menlo Park (CA); On-site; USD 173,000 - 242,000; Full time

Job summary

Join an innovative company as a Data Science Manager, where you will lead a talented team to harness the power of data in shaping product strategies that impact billions. This role offers the chance to work with vast data sets, drive analytics projects, and influence product direction through compelling insights. You'll collaborate with cross-functional teams and contribute to the advancement of the data science discipline. If you're passionate about analytics and leadership, this is your opportunity to make a significant impact in a forward-thinking environment that values creativity and growth.

Benefits

Bonus

Equity

Comprehensive benefits package

Career development opportunities

Qualifications

• 4+ years of experience in applied analytics with team management.
• Strong experience in data querying and statistical software.

Responsibilities

• Lead a team to develop product strategies using analytics.
• Drive end-to-end analytics projects to support product decisions.

Skills

Data Analysis

Project Management

Leadership

Statistical Analysis

Communication Skills

Education

Bachelor's Degree

Master’s or Ph.D. in a quantitative field

Tools

SQL

Python

R

Job description

As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

About the role:

1. Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
2. Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
3. Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
4. People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.

Data Science Manager, Analytics Responsibilities

1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world.
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
3. Influence product direction through clear and compelling presentations to leadership.
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.

Minimum Qualifications

1. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta.
2. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams.
3. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
4. Experience initiating and completing analytical projects with minimal guidance.
5. Experience communicating results of analysis to senior leadership.

Preferred Qualifications

1. Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
2. Experience working in technology, consulting, or finance.
3. Proven track record of leading high-performing analytics teams.

Locations

Data Center

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 WhatsApp 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.

$173,000/year to $242,000/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.

Equal Employment Opportunity and Affirmative Action

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [e-mail].