Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MS SQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool.

Responsibilities:

• Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
• Develop reproducible and deployable statistical applications on platform such as R / Python / Spark using techniques such as Regression, SVM, and Neural Networks
• Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark)
• Design experiments to maximize insights while minimizing error
• Work with cross-functional teams to rapidly execute and iterate.

Requirements:

• 2+ years with relevant Data Science experience
• Proven record of successful statistical product delivery
• Ability to execute health insurance use cases via statistical applications such as R or Python (Sci-Py, Orange, etc.)
• Significant experience with SQL and working with large datasets required
• Strong verbal and written communication skills
• BS / MS in quantitative field a plus