Data Scientist, Product - Menlo Park, CA | Remote, US
- 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.
- Telecommute from anywhere in the U.S. permitted.
- Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Economics, Physics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation. Requires three years of experience 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. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.
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, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta. Apply
Job Profile
Regions Countries Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
SkillsA/B Testing Clustering Computer Science Data Infrastructure Data Mining Descriptive Statistics Design Engineering Inferential Statistics Machine Learning Matlab Pattern Recognition Python Quantitative analysis Quantitative Analysis Techniques R Recruiting Regression SAS SQL Web
Tasks- Collect, organize, interpret, and summarize statistical data
- Contribute to product design and development
- Inform, influence, support, and execute product decisions
- Partner with product and engineering teams
- Work on problems of diverse scope
- Work on projects in various areas including product operations and data infrastructure
3 years
EducationAnalytics Applied Sciences Business Computer Science Economics Engineering Information Systems Master's degree Master's in Computer Science Mathematics Physics Related Field Statistics
RestrictionsTelecommute from anywhere in the U.S. permitted
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9