Data Science Manager

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 Science Manager Responsibilities

• Use data analysis to understand customer profiles, produce reports to track our business, build models to provide insight into the Small Business customer base, identify opportunities, and impact the strategy of our Product, Marketing, and Sales teams.
• Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings.
• Proactively identify opportunities to improve the experience of businesses on the Facebook family of apps using data science.
• Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations.
• Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques.
• Design and execute experiments (eg, A/B testing, multi-armed bandit).
• Effectively communicate insights and recommendations to business leads and influence strategic decision-making.
• Frequently switch between on-the-ground tactical execution and 30k foot strategy.

Minimum Qualifications

• Requires a Bachelor's degree in Statistics, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Electronic Engineering, or related field and 36 months of experience in job offered or in a Data Science-Related Occupation. Foreign degree equivalent is acceptable.
• Experience must include 36 months involving the following:
• Machine learning techniques, including recommendation algorithms and predictive models
• Working with large data sets and network-based data, including TCP or HTTP
• ETL (Extract, Transform, Load) processes
• Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
• Large scale data processing infrastructures using distributed systems, including Hadoop, Hive, MapReduce, or MPI
• Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics
• Experimentation, including Causal inference and A/B test.

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout 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 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 accommodations-ext@fb.com. $250,553/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.