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Data Scientist - Bellevue, United States - META PLATFORMS, INC. (f/k/a Facebook, Inc.)
Description
Company:
META PLATFORMS, INC. (f/k/a Facebook, Inc.)
Job Title:
Data Scientist (Product)
Job Code:
REQ
Job Location:
Bellevue, Washington
Job Type:
Full-time, 9am 6pm, 40 hours a week, Monday Friday
Salary:
$180,166/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:
Duties:
Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Facebook 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:
Master's degree (or foreign equivalent) in Statistics, Mathematics, Analytics, Computer Science, Engineering, Quantitative Research, or a related field and 24 months of experience in the job offered or in a related occupation.
Statistical or mathematical software including one of the following:
R, SAS, or Matlab; 5. Applied statistics or experimentation, such as A/B testing, in an industry setting; 6. Machine learning techniques; 7. ETL (Extract, Transform, Load) processes; 8. Relational databases; 9. Large-scale data processing infrastructures using distributed systems; and 10. 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 & include the job order number visible to you above in the subject line of the email.
Also include the Ref code number:
REQ