Job Description

18 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Lensa partners with DirectEmployers to promote this job for META. 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, 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. Required Skills Data Scientist-Product Responsibilities: Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products. 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. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. Exercise judgment within defined procedures and practices to determine appropriate action. Utilize complex experiment design and advanced analysis methods to identify areas for improving system reliability in business operations and make data-driven recommendations for optimization. Collaborate with cross-functional teams across Meta to understand business needs and integrate data insights into strategic planning for improving management flows. Continuously evaluate and improve data science models and methods to ensure accuracy and relevance in improving system reliability and connect with different teams across Meta for support when needed. Minimum Qualifications Minimum Qualifications: Requires a Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following: Performing quantitative analysis including data mining on highly complex data sets Data querying language: SQL Scripting language: Python Statistical or mathematical software including one of the following: R, SAS, or Matlab Applied statistics or experimentation, such as A/B testing, in an industry setting Machine learning techniques ETL (Extract, Transform, Load) processes Relational databases Large-scale data processing infrastructures using distributed systems Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics. Public Compensation $214,002/year to $235,400/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]. If you have questions about this posting, please contact [email protected] Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Lensa by 2x Get notified about new Data Scientist jobs in Menlo Park, CA . 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