- Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings.
- Proactively identify opportunities to improve the experience of businesses on the Facebook family of apps using data science.
- Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations.
- Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques.
- Design and execute experiments (e.g., A/B testing, multi-armed bandit).
- Effectively communicate insights and recommendations to business leads and influence strategic decision-making.
- Frequently switch between on-the-ground tactical execution and 30k foot strategy.
- Data infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework.
- Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Business Analytics, or a related field and 12 months of experience in the job offered or a data-science related occupation.
- Experience must include 12 months involving the following:
- 1. Machine learning techniques
- 2. ETL (Extract, Transform, Load) processes
- 3. Relational database (SQL or PL*SQL)
- 4.Developing in Python
- 5. Statistical analysis using R
- 6. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
- 7. Quantitative analysis techniques: clustering, regression, pattern recognition and descriptive and inferential statistics
- 8. Communicating and presenting results of data analyses.
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