- 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.
- Requires a Bachelor's degree (or foreign degree equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Economics, Engineering, Information Systems, Applied Sciences, 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. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
- 10. Communicating and presenting results of data analyses.
$223,856/year to $235,400/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Report job
