Data Scientist
Menlo Park, CA | Remote, US
- Devise methods for identifying data patterns and trends.
- Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of company products.
- Identify data patterns.
- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
- Partner with Product and Engineering Teams to solve problems and identify trends and opportunities.
- Inform, influence, support, and execute 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.
- Telecommuting is permitted from any location in the U.S.
- Master's degree (or foreign equivalent) in Computer Science, Engineering, Analytics, Mathematics, Business, Business Administration, or a related field and 12 months of work experience in the job offered or in a related occupation. Requires 12 months of experience in the following:
- Performing quantitative analysis including data mining on highly complex data sets
- SQL
- Python
- Statistical or mathematical software including one of the following: R, SAS, or Matlab
- Applied statistics or experimentation, such as A/B testing, in an industry setting
- ETL (Extract, Transform, Load) processes
- Relational databases
- Large-scale data processing infrastructures using distributed systems and
- 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
Telecommuting is permitted from any location in the U.S.
Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Apply quantitative analysis
- Collect and interpret statistical data
- Collect, organize, interpret, and summarize statistical data
- Data mining
- Devise data patterns and trends
- Identify data patterns
- Identify trends and opportunities
- Inform and execute product decisions
- Inform, influence, support, and execute product decisions
- Partner with product and engineering teams
- Quantitative analysis
- Work on problems of moderate scope
- Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
A/B Testing Business administration Clustering Computer Science Databases Data Infrastructure Data Mining Data processing Data processing infrastructures Design Distributed Systems Engineering ETL Inferential Statistics Matlab Pattern Recognition Python Quantitative analysis Quantitative Analysis Techniques R Recruiting Regression Relational databases SAS SQL Statistical software Statistics Web
Experience12 months
EducationAnalytics Business Business Administration Computer Science Design Engineering Master Master's degree Master’s Degree 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