Summary:

　　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, WhatsApp, and Novi 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.

　　Required Skills:

　　Data Scientist, Analytics Responsibilities:

　　Collaborate 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 Meta

　　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

　　Convince and influence your partners using clear insights and recommendations

　　Build credibility through structure and clarity, and be a trusted strategic partner

　　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

　　Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends

　　Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

　　Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

　　Minimum Qualifications:

　　Minimum Qualifications:

　　Master's degree in Operations Research, Computer Science, Engineering, or a related field and 24 months of experience in the job offered or in a related occupation. Requires 24 months of experience in the following:

　　Performing quantitative analysis including data mining on highly complex data setsData querying language(s) including SQLScripting language(s) including PythonStatistical or mathematical software including one of the following: R, SAS, or MatlabApplied statistics or experimentation, such as A/B testing, in an industry settingMachine learning techniquesETL (Extract, Transform, Load) processesRelational databasesQuantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statisticsPublic Compensation:

　　$177,390/year to $191,000/year + bonus + equity + benefits

　　Industry: Internet

　　Equal Opportunity:

　　Meta is proud to be an Equal Employment Opportunity and Affirmative 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 [email protected].