Data Scientist, Products & Applied Research

SupportFinity™; Menlo Park (CA); On-site; USD 147,000 - 208,000; Full time

Job summary

Meta’s Data Scientist role in Products & Applied Research focuses on transforming breakthrough AI research into real-world products used by billions. You will collaborate with cross-functional partners to apply data-driven strategies, guide product decisions, and influence roadmaps through rigorous analytics and experimentation.

You will be part of Meta Superintelligence Labs, shaping experiences across Facebook, Instagram, WhatsApp, and more, delivering measurable impact at massive scale.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field or equivalent.
• 4+ years of analytics experience with SQL, Python, and R.
• 4+ years solving analytical problems, understanding ecosystems, and leading data-driven projects.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and presentation of data to develop product strategies.
• Define, understand, and test opportunities to improve the product and drive roadmaps.
• Identify and measure success of product efforts through goals, forecasting, and monitoring of key product metrics.
• Partner with Product, Engineering, and cross-functional teams to inform and support product strategy.

Skills

SQL

Python

R

Statistics

Data analysis

Education

Bachelors in CS/CE/Math/Stats

Tools

R

Job description

Data Scientist, Products & Applied Research

Meta |

Meta | Posted Mar 9

Full-time

Unknown

Meta’s Products & Applied Research (PAR) team is where product-focused research meets real-world impact, taking breakthrough AI research and transforming it into products that reach billions. As part of Meta Superintelligence Labs (MSL), we’re driving the transformation of Meta’s core experiences—across Facebook, Instagram, WhatsApp, Threads, and beyond—by applying cutting-edge research to real-world products at massive scale.

We are looking for a Data Scientist to join our PAR organization where you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world, by applying your technical skills, analytical mindset, and product intuition.

In this role, 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 use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Data Scientist, Products & Applied Research Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
• 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
• 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

Preferred Qualifications

• Master's or Ph.D. degree in a quantitative field

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 Affirmitive 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].

$147,000/year to $208,000/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.

About the company

Meta