Data Scientist, Product

3 weeks ago

Menlo Park, United States Meta Full time

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Required Skills:

Data Scientist, Product Responsibilities:

  1. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.

  2. 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.

  3. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.

  4. Inform, influence, support, and execute our product decisions and product launches.

  5. May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.

  6. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

  7. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

  8. Improve ranking retrieval stages to cover more users and build more accurate timing models.

  9. Improve Unified Value Model with long term value, short term value, and user frustration predictors.

Minimum Qualifications:

Minimum Qualifications:

  1. Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and six months of experience in the job offered or in a computer-related role. Requires six months of experience in the following:

    1. Performing quantitative analysis including data mining on highly complex data sets.

  1. Data querying language: SQL.
  1. Scripting language: Python.
  1. Statistical or mathematical software including one of the following: R, Python, SAS, or Matlab.
  1. Applied statistics or experimentation, such as correlation analysis, A/B testing, in an industry setting.
  1. Complex machine learning techniques such as neutral network and XGboost.
  1. ETL (Extract, Transform, Load) processes.
  1. Relational databases.
  1. Large-scale data processing infrastructures using distributed systems.
  1. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.
  1. Version control for reproducibility, such as Git.

Public Compensation:

$175,420/year to $182,437/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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