- Apply your 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.
- 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.
- Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Statistics, Mathematics, Physics, Applied Sciences, or a related field and 60 months of experience in the job offered or in a Data Science-related occupation. Requires 60 months of experience involving the following:
- 1. Machine learning techniques
- 2. Working with large data sets and network-based data (TCP or HTTP)
- 3. Relational database including (SQL or PL*SQL)
- 4. Large Scale data processing infrastructures using distributed systems including Hadoop, Hive, MapReduce, or MPI
- 5. Quantitative analysis techniques including clustering, regression, pattern recognition, or descriptive and inferential statistics
- 6. Communicating and presenting results of data analyses.
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