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Meta Platforms, Inc. Data Scientist, Analytics in Bellevue, Washington

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

Job Title:              Data Scientist, Analytics

Job Code:             REQ-2404-136052

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 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.

 

Requirements:

 

Requires a Bachelor's degree in Business Administration with a statistical focus like Logistics and/or Business Technology, Logistics Management, Statistics, Mathematics, Data Analytics. Requires 24 months of experience in the job offered or in a related occupation.  Requires 24 months of experience involving the following: 1. Features, design, and use-case scenarios across a big data ecosystem; 2. Custom ETL design, implementation, and maintenance; 3. Schema design and dimensional data modeling; 4. Writing SQL statements; 5. Analyzing data to identify deliverables, gaps, and inconsistencies; 6. Managing and communicating data warehouse plans to internal clients; and 7. Python.

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-2404-136052].

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