Data Scientist
Menlo Park, CA | Remote, US
- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta's 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.
- 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 to help shape the future of what we build at Meta.
- Telecommute from anywhere in the US permitted.
- Master's degree in Computer Science, Analytics, Statistics, Mathematics, Engineering, or a related field and 24 months of experience in job offered or related occupation.
Requires 24 months of experience in the following: - 1. Machine learning techniques
- 2. ETL (Extract, Transform, Load) process
- 3. Relational database (SQL or PL*SQL)
- 4. Developing in scripting language: Python
- 5. Statistical analysis using R
- 6. Quantitative analysis techniques including clustering, regression, and pattern recognition
- 7. Quantitative analysis techniques including descriptive and inferential statistics
- 8. 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, monthly 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.
Tags: Clustering Computer Science Data analysis Data Mining Data pipelines Engineering ETL Machine Learning Mathematics Physics Pipelines Python R RDBMS SQL Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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