Data Scientist - Menlo Park, CA | Remote, US
- Applying expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business
products. - Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
- Develop data pipelines with automated, machine-learning systems that
convert noisy core datasets into powerful signals of user behavior. - Build models of user behaviors for analysis or to power production systems.
- Partner with Product and Engineering teams
to solve problems and identify trends and opportunities. - Design and implement dashboards and reports that track key business metrics and provide actionable insights.
- Inform, influence,
support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. - Work across areas of product operations, exploratory
analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. - Telecommuting is permitted from anywhere in the United States.
- Requires a Master's degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, or a related field. Requires 36 months of experience in the job offered or in a related occupation. Experience must include 36 months involving the following:
- 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Scripting language including Python
- 3. Statistical or mathematical software including R, SAS, or Matlab
- 4. Applied statistics or experimentation including A/B testing in an industry setting
- 5. Machine learning techniques
- 6. Quantitative analysis techniques: clustering, regression, pattern recognition, and 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 Benefits Offered Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
SkillsA/B Testing Clustering Computer Science Data analysis Data Infrastructure Data Mining Data Pipelines Design Engineering Inferential Statistics Machine Learning Matlab Pattern Recognition Python Quantitative analysis Quantitative Analysis Techniques R Recruiting Regression SAS Statistical software Web
Tasks- Building user behavior models
- Collaborating with product and engineering teams
- Communicating results
- Data Analysis
- Data mining
- Designing dashboards
- Developing data pipelines
- Partner with product and engineering teams
36 months
EducationAnalytics Business Computer Science Data Analysis Engineering Master's degree Master's Degree in Statistics 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