Job Description

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.

Qualifications

Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Data Scientist • 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 • Implementing processes that improve and lead to greater data quality • Conducting statistical analyses to develop strategies • Documenting all processes and research • Building new algorithms and model training • Executing projects involving analytics • Identifying data patterns and trends • Analyzing data to develop predictive models • Creating, managing, and maintaining analytically rigorous data • Possessing a solid machine learning foundation • Proven record of successful statistical product delivery • Ability to execute health insurance use cases via statistical applications such as R or Python  • Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark)  • Significant experience with SQL and working with large datasets required • Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and running diagnostics • Performing graphical model analysis • Strong verbal and written communication skills

Additional Information

Candidates would Roll Perm at some point