Job Information
Meta Platforms, Inc. Data Scientist, Product in Redmond, Washington
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)
Job Title: Data Scientist, Product
Job Code: REQ-2406-138353
Job Location: Redmond, Washington
Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday
Salary: $236,474/year to $279,400/year + bonus + equity + benefits.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.
Duties:
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 diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. Analyze data, business intelligence, and statistical results to identify actionable insights, suggest recommendations and influence the direction of Meta's product decisions and product launches by effectively communicating results to cross functional groups, including Product, and Engineering teams. Leverage data to provide insights about user behavior and to inform business decisions. Predict and understand user patterns through analytical and statistical metric analysis. Apply quantitative skills in predictive modeling, business intelligence analysis, A/B tests, regression models, and machine learning to gather data insights.
Requirements:
Requires a Master's degree in Statistics, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation.
Requires two years of experience in the following:
- Relational Database (such as SQL);
- Scripting language: Python;
- Statistical or mathematical analysis including one of the following: R, SAS, or Matlab;
- Machine learning techniques;
- ETL (Extract, Transform, Load) processes;
- 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.
To apply, please send resume to the following email address SWApplicant@fb.com & include the job order number visible to you above in the subject line of the email. It is important to include the job order number in the subject line of the email. Also include the Ref code number: REQ-2406-138353.