Data Scientist

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.

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.

No preferred qualifications provided.