Data Scientist, Analytics

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.Data Scientist, Analytics Responsibilities

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute our product decisions and product launches.
• The Data Scientist Analytics role has work across the following four areas: Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics.
• Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems.
• Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc.
• to product teams and spreading best practices to analytics and product teams.
• Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.

Minimum Qualifications

• Requires a Master’s (or foreign equivalent) in Statistics, Mathematics, Analytics, or a related field.
• Requires Completion of a graduate-level course, research project, or internship in each of the following:
• 1. Machine learning techniques
• 2. Relational database (SQL or PL*SQL)
• 3. Developing in Python
• 4. Statistical analysis using R and MATLAB
• 5. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
• 6. Quantitative analysis techniques: clustering, regression, pattern recognition

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$254,003/year to $279,400/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 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 here.
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