Data Scientist (US Citizenship REQUIRED)

• Data Scientist will lead data science projects specific to developing business intelligence solutions that encompass data mining, data analytics, and predictive analysis using vast amounts of data across disparate systems and databases. From the underlying patterns in the data, trends, relationships, and anomalies, results are formulated, interpreted and articulated into audit and investigative actionable decision information which are then communicated orally and through the creation of visualizations (graphs, charts, and interactive mapping), including written reports. Experience in Data Bricks, Pyspark and Unity Catalog is very important. Two or more years of experience in training, evaluating and deploying machine learning models using Databricks, leveraging Pyspark MLlib and unity Catalog for model management and governance with recent experience (in the last 6 months). Also experience using Neo4J is a plus.

Required and preferred experience:

• five (5) or more years of, continuous in time, hands-on experience developing analytic rules and models using leading edge fraud analytic tools and industry best practices.
• five (5) or more years of, continuous in time, hands-on experience of data management and advanced analytic techniques. The experience has to be current within the last 6 months.
• five (5) or more years of, continuous in time, hands-on experience proactively using data sciences to identify, detect and prevent fraud, waste, abuse and mismanagement. The experience has to be current within the last 6 months.
• five (5) or more years of experience, continuous in time, working in the team environments as well as independent.
• In addition to Databricks, the data scientists shall have experience within the last 12 months using at least (2) other software packages and/or computer programming languages from the following list:
• o R
• o Python
• o Power BI
• o SQL
• o Tableau
• SAS