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 technical skills, analytical mindset, and product intuition to one of the richest data sets in the world.
• Collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others.
• Use data and analysis to identify and solve product development’s biggest challenges.
• Influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams.
• Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Facebook.
• Help partner teams prioritize what to build, set goals, and understand their product’s ecosystem.
• Guide teams using data and insights.
• Focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Minimum Qualifications

• Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Mathematics, Economics, Statistics or related field, and two (2) years of experience in the job offered or related occupation.
• Requires 2 years of experience in the following:
• 1. Access and extract data from relational databases (SQL) for analyses
• 2. Extract and process data for analyses using large scale data processing infrastructures using distributed systems, such as Hadoop, Hive, or MapReduce
• 3. Develop reproducible scripts and statistical analyses using Python when advanced techniques are required
• 4. Apply machine learning techniques such as clustering, regression, pattern recognition, or descriptive and inferential statistics
• 5. Apply statistical techniques to create and analyze A/B tests, including how to properly set up A/B tests and how to determine statistical significance of results
• 6. Communicate and present results of data analyses to influence team and company strategy.

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 [email protected]. $201,884/year to $235,400/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.