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
Facebook 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.
- Telecommuting
is permitted from anywhere in the United States.
- Master's degree in Data Science, Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field (or foreign equivalent). Requires 3 years of experience in the job offered or in a related occupation. Requires three (3) years of experience in the following skills:
- 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Data querying language(s) including SQL
- 3. Scripting language(s) including Python
- 4. Statistical or mathematical software including one of the following: R, SAS, Python 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.
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/PerksAccommodations for disabilities, long term conditions, mental health conditions, etc. Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
SkillsA/B Testing Clustering Computer Science Databases Data Infrastructure Data Mining Data processing Data Science Design Distributed Systems Engineering ETL Inferential Statistics Machine Learning Matlab Pattern Recognition Python Quantitative analysis Quantitative Analysis Techniques R Recruiting Regression Relational databases SAS SQL Statistics Web
Tasks- Analyze user interactions with products
- Collect, organize, interpret, and summarize statistical data
- Contribute to product design and development
- Data mining
- Identify trends and opportunities
- Partner with product and engineering teams
- Support product decisions and launches
- Work on problems of diverse scope
- Work on projects in various areas
3 years
EducationAnalytics Applied Sciences Business Computer Science Data Science Engineering Information Systems Master's degree Master's degree in Data Science Master's in Data Science Mathematics Physics Related Field Statistics
RestrictionsTelecommuting is permitted from anywhere in the United States Telecommuting permitted within the United States
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