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 US permitted.
- Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work
experience in the job offered or in a computer-related occupation. - Requires two years of experience in the following:
- 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Data querying language: SQL
- 3. Statistical or mathematical software including one of the following: R, SAS, or Matlab
- 4. Applied statistics or experimentation, such as A/B testing, in an industry setting
- 5. Machine learning techniques
- 6. Relational databases
- 7. Large-scale data processing infrastructures using distributed systems
- 8. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
This job isn't fresh anymore!
Search Fresh JobsJob Profile
Telecommute from anywhere in the U.S. permitted
Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Data mining
- Identify trends and opportunities
- Work on problems of diverse scope
A/B Testing Analytics Clustering Computer Science Databases Data Infrastructure Data Mining Data processing Descriptive Statistics Design Distributed Systems Engineering Inferential Statistics Information systems Machine Learning Matlab Pattern Recognition Quantitative analysis R Recruiting Regression Relational databases SAS SQL Statistics Web
Experience2 years
EducationAnalytics Applied Sciences Business Computer Science Design Engineering Information Systems Master Master's degree Master's in Computer Science Mathematics Physics Related Field Statistics Technology
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