Company:              META PLATFORMS, INC. (f/k/a Facebook, Inc.)

Job Title:                Data Scientist, Product

Job Code:               REQ-2403-135170

Job Location:         Bellevue, Washington

Job Type:                Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday

Salary: $205,380/year to $235,400/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.

Requirements:

Master's degree in Computer Science, Engineering, Engineering Management, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or in a data/business analytics or computer-related occupation.  Requires two years of experience in the following: 1. Working with large data sets and network-based data (TCP or HTTP); 2. ETL (Extract, Transform, Load) processes; 3. Relational database (SQL or PL*SQL); 4. Statistical analysis using Python, R, MATLAB, SPSS, SAS, or Stata; 5. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, MPI, Vertica,or Google BigQuery); 6. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics; and 7. Communicating and presenting results of data analyses.

To apply, please send resume to the following email address SWApplicant@meta.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-2403-135170.