8-12 years of relevant experience in data science/engineering or related fields.
Experience architecting and deploying ML/AI solutions for large-scale enterprise problems (anomaly detection, entity behavior evaluation/prediction, data quality improvement) and improving data usability for mission requirements (including entity resolution).
Proficiency with data platforms and analytics tools (Databricks and Zingg) and programming languages (Python/R) and Spark; familiarity with NoSQL.
Strong data modeling, ETL, experience with highly structured data, and data visualization; plus ability to communicate and collaborate with multiple functional groups.
Requirements:
Analyze identity-related fraud data from verification/validation processes and support the team with requirements.
Lead design and implementation of ML/AI-based solutions for anomaly detection, entity behavior evaluation/prediction, and data quality improvements at scale.
Provide detailed analysis, evaluations, and recommendations for improvements, optimization, development, and maintenance; consult with clients to define needs; supervise studies and lead data collection and analyses.
Offer strategic and technical guidance to program staff, driving projects from inception to conclusion and collaborating with cross-functional teams.
Job description
Data Scientist – Identity Focus
Data Scientist with Identity focus dedicated to analyzing data related to fraud as a result of identity verification and validation challenges. This individual will support our existing team with the following requirements:
• 3+ years of experience as a data engineer / data analyst
• 3+ years architecting and engineering Machine Learning/AI based solutions to large scale enterprise problems solving anomaly detection, entity behavior evaluation and prediction, and data quality improvement
• Experience with data platforms and analytics tools (specifically Databricks and Zingg)
• Experience with NoSQL, R, or Python and Spark
• Experience with advanced data modeling and how to make that data usable for meeting mission requirements (including entity resolution)
• Experience implementing of Extract, Transform, Load (ETL) technologies
• Experience in working with highly structured data
• Experience with data visualization packages
• Ability to communicate and collaborate with multiple functional groups
Seeking an individual whose qualifications and/or expertise are exceptional and/or highly specialized or unique; and are typically identified as recognized industry leaders: and typically initiates, supervises, and/or develops requirements from a project’s inception to conclusion for complex to extremely complex programs; and provides strategic and expert advice and technical guidance, to program and project staff.
This individual also provides detailed analysis, evaluation and recommendations for improvements, optimization development, and/or maintenance efforts for client-specific or mission critical challenges/issues; and consults with client to define needs or challenges; while also supervising studies: leading surveys and performing data collection for analyses used to advise and recommend/suggest solutions.
o A minimum of eight (8) to twelve (12) years’ relevant experience.
o A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four additional years of related experience is required.
o Typically performs all functional duties independently.
o Note: Special credentials (licenses and/or certifications) may be required at the Task Order level on a case-specific basis.
