Data Scientist (Product)
Menlo Park, CA
- 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.
- Master's degree in Computer Science, Business Administration Information Systems, Information Systems, Analytics or a related field and 12 months of experience in job offered or in a computer-related occupation.
Experience must include 12 months involving the following: - 1. Performing quantitative analysis including data mining on highly complex data sets
- 2. Data querying language(s) including SQL
- 3. Scripting language(s) including Python
- 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
- 5. Applied statistics or experimentation, such as A/B testing, in an industry setting
- 6. Machine learning techniques
- 7. ETL (Extract, Transform, Load) processes
- 8. Relational databases
- 9. Large-scale data processing infrastructures using distributed systems
- 10. 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.
Tags: A/B testing Clustering Computer Science Data analysis Data Mining Data pipelines Distributed Systems Engineering ETL Machine Learning Matlab Physics Pipelines Python R RDBMS SAS SQL Statistics Testing VR
Perks/benefits: Career development Equity Health care Salary bonus
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