- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with 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.
- Building 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.
- Telecommuting from any location in the U.S. is permitted.
- Master's degree (or foreign equivalent) in Computer Science, Engineering, Analytics, Mathematics, or a related field and 36 months of experience in the job offered or related occupation. Experience must include 36 months of experience in the following:
- 1. Machine Learning techniques
- 2. Relational database (SQL or PL*SQL)
- 3. Developing in scripting language: Python
- 4. Quantitative analysis techniques including: clustering, regression, and pattern recognition
- 5. Descriptive and inferential statistics
- 6. Communicating and presenting results of data analyses
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.
United States
