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

Job Title:              Data Scientist

Job Code:             REQ-2405-137733

Job Location:        Seattle, Washington

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

Salary:                  $166,698/year to $196,900/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 expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products. Partner with Product and Engineering teams to solve problems and identify data trends and opportunities. Inform, influence, support, and execute  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 data problems of diverse scope where analysis of data requires evaluation of identifiable factors. Apply and manipulate large sets of data using statistical software.

Requirements:

Requires a Master's degree in Mathematics, Statistics, Data Analytics, Computer Science, Engineering, Computational Sciences, or a related field. Foreign equivalent accepted. Completion of a graduate-level course, research project, or internship involving the following: 1. Performing quantitative analysis including data mining on highly complex data sets; 2. Data querying language(s) including SQL; 3. Scripting language(s) including Python; 4. Machine learning techniques; 5. ETL (Extract, Transform, Load) processes; 6. Large-scale data processing infrastructures using distributed systems and; 7. 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@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-2405-137733].