Job Information
Meta Platforms, Inc. Data Scientist, Product in New York, New York
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Data Scientist, ProductJob Code:Req-2403-134910Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $214,127/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 Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, Finance, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following: 1. Performing quantitative analysis including data mining on highly complex data sets; 2. Data querying language: SQL; 3. Scripting language: Python; 4. 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; 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.
Minimum Salary: 214,127 Maximum Salary: 235,400 Salary Unit: Yearly