Data Scientist, Product at Meta
San Francisco, CA 94105, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Nov, 25

Salary

279400.0

Posted On

07 Aug, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Information Systems, Physics, Python, Mathematics, Php, Materials Science, Load, Analytics, Javascript, Etl, Applied Sciences, Learning Techniques, Mysql

Industry

Information Technology/IT

Description

MINIMUM QUALIFICATIONS

  • Requires a PhD degree (or foreign equivalent degree) in Computer Science, Engineering, Information Systems, Materials Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field and four years of work experience in the job offered or in a computer-related occupation
  • Requires four years of experience in the following:

    1. Machine learning techniques


      1. Working with large data sets


        1. ETL (Extract, Transform, Load) Processes


          1. Relational Database (SQL or MySQL)


            1. Development using a Scripting Language (Python, JavaScript or PHP)


              1. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics


                1. Communicating and presenting results of data analyses

                  For those who live in or expect to work from California if hired for this position.

                Responsibilities
                • 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.
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