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 PhD degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:
- 1. Machine learning techniques
- 2. Working with large data sets and network-based data (TCP or HTTP)
- 3. ETL (Extract, Transform, Load) processes
- 4. Relational database (SQL or PL*SQL)
- 5. Developing in scripting language: PHP, Python, or Perl
- 6. Statistical analysis using R, MATLAB, Mathematica, ROOT, SPSS, SAS, or Stata
- 7. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, LCG, or MPI)
- 8. Quantitative analysis techniques: clustering, regression, patterns recognition, or descriptive and inferential statistics
- 9. Communicating and presenting results of data analyses.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly 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. Apply
Job Profile
Regions Countries RestrictionsTelecommute from anywhere in the U.S. permitted
Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Analyze user interactions with products
- Collect, organize, and interpret statistical data
- Collect, organize, interpret, and summarize statistical data
- Contribute to product design and development
- Data mining
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions
- Identify trends and opportunities
- Partner with product and engineering teams
- Quantitative analysis
- Support product decisions and launches
- Work on diverse projects in various areas
- Work on problems of diverse scope
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
Clustering Computer Science Data Infrastructure Data Mining Data processing Data processing infrastructures Data Visualization Design Developing Distributed Systems Engineering ETL ETL Processes Hadoop Hive HTTP Inferential Statistics Large scale data processing infrastructures Machine Learning Machine learning techniques MapReduce Matlab MPI Perl PHP Python Quantitative analysis Quantitative Analysis Techniques R Recruiting Regression Relational database Research SAS Scripting Language SQL Statistical analysis Statistics TCP Web Working with large data sets
EducationAnalytics Applied Sciences Business Computer Science Design Engineering Information Systems Mathematics PHD Degree Ph.D. in Computer Science 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