Data Science Manager, GenAI

Meta; New York (NY); On-site; USD 206,000 - 281,000; Full time

Job summary

Join a leading technology company as a Data Science Manager, GenAI, where you will lead a team to influence product strategy and drive impactful AI solutions. Your role will involve collaboration across various teams and managing large datasets to enhance user experiences.

Qualifications

• Minimum of 7 years of work experience in applied quantitative field.
• 5+ years of experience in a team leadership role.

Responsibilities

• Drive actionable recommendations and key technical decisions.
• Identify and size new opportunities to integrate GenAI technology.

Skills

Leadership

Analytical Skills

Project Management

Technical Skills

Creativity

Education

BS degree in a quantitative discipline

Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science

Job description

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This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$206,000.00/yr - $281,000.00/yr

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 wide-range 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.The Generative AI product group was formed to consolidate the Generative AI work at Meta with the vision of bringing generative AI experiences to billions of users on our platform. Since then, the team has been working towards building and integrating these experiences across our family of apps and devices.You will lead a team of Data Scientists who are responsible for driving strategy, data acquisition, quality and evaluation for the open source models we build. This is at the very forefront of what is possible in AI today, so you will be building the instrumentation for the plane while flying it.You will drive actionable recommendations and key technical decisions with Meta’s researchers and leadership.

Data Science Manager, GenAI Responsibilities:

• We're aiming to be the most powerful and useful open-source frontier AI model while maintaining a high bar for safety.
• Identify and size new opportunities to integrate GenAI technology into our existing product offerings and perhaps even define new ones.
• Clarify how our language and image/video models are performing. Define key metrics for measuring model effectiveness.
• Drive insight to action by identifying focus areas and opportunities to accelerate model performance, and directly influencing decision-making with Meta’s leadership.
  
  

Minimum Qualifications:

• BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
• A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including 2+ years of experience managing analytics teams
• 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
• A minimum of 2 years of experience working on consumer facing products
• Experience communicating both in low-level technical details as well as high-level strategies
• Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
  
  

Preferred Qualifications:

• Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
• Proven track record of leading high-performing analytics teams.
• 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space
  
  

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.

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 [e-mail].

$206,000/year to $281,000/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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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