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Sr. Data Scientist

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Meta

Menlo Park, CA (In Person)

$315,107 Salary, Full-Time

Posted 5 weeks ago (Updated 1 week ago) • Actively hiring

Expires 5/27/2026

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Job Description

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click "Apply to Job" online on this web page. Jobs Sr. Data Scientist Sr. Data Scientist Menlo Park, CA Data Science + 1 more Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click "Apply to Job" online on this web page. Sr. Data Scientist Responsibilities Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Partner with Product and Engineering teams tosolve complex problems and identify trends and opportunities. Inform, influence, support, and execute our product decisions and product launches. Work on Data Infrastructure; Working inHadoop and Hive and MySQL. Authoring pipelines via SQL and python based ETL framework; Guide experimentation across the Core Ads Growth organization (~1,200 people for allfunctions). This entails reviewing complex experiments across the Core Ads Growth product suite, and supporting the development of robust measurement plans across organizationalpillars Responsible for machine learning model development including guiding Machine Learning Engineers on the authoring of Machine Learning models such as guiding label design, andoffline and online evaluation of results. Advancing analytics in Python and R leverage big data to make the right strategic business decisions, such as complex trade-offs betweencompeting metrics, and steer product development for positive long-term outcomes for the business. The role, more specifically, involves the development and application of statisticalmethods to measure the long-term effects of changes and building key data sets to empower operational and exploratory analysis. Apply causal inference methodologies to analyze dataand identify new opportunities for product changes. Designing and evaluating experiments, monitoring key product metrics, and understanding root causes of metrics changes. Building andanalyzing dashboards and reports. Exploratory analysis is needed to understand users and what leads to positive long-term engagement. Working on roadmap building proposals andUnderstanding ecosystems, user behaviors, and long-term trends. Identifying levers to help move key metrics. Evaluating and defining metrics. Building models of user behaviors foranalysis or to power production systems. Product Leadership and Influencing product teams through the presentation of work. Communicating the state of business, experiment results toproduct teams. Spreading best practices to analytics and product teams. Apply predictive modeling, machine learning, and experimentation causal inference methods regularly to solvereal life problems. 5% International Travel Required. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Industrial engineering relevant technical field and five years of progressive, post-baccalaureate experience in the joboffered or a computer-related occupation. Alternatively, the employer will accept 7 years of experience Experience must include 5 years of experience in the following: Leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategydevelopment Applying predictive modeling, machine learning, and experimentation causal inference methods on a regular basis to solve real life problems Working effectively with a very large number of stakeholders, cross functionally, including Engineering, PMTPM, Analytics & Finance as well as cross-org Framing and communicating with senior leadership 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. For those who live in or expect to work from California if hired for this position, please click for additional information. $304,944year to $325,270year + 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 at Meta. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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 . Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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