Data Scientist Identity Focus (Remote) at A.C. Coy

Falls Church, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Jan, 26

Salary

0.0

Posted On

11 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Fraud Detection, Machine Learning, AI Solutions, Data Engineering, Data Visualization, ETL Technologies, NoSQL, Python, Spark, R, Data Modeling, Entity Resolution, Data Collection, Client Consultation, Data Quality Improvement

Industry

Information Technology & Services

Description

Overview Tier One Technologies is looking for a Data Scientist with Identity Focus experience to support our direct US Government client. This will be a 100% remote position. SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT. Responsibilities Dedicated to analyzing data related to fraud arising from identity verification and validation challenges. Conduct detailed analysis, evaluations, and provides recommendations for improvements, optimization, development, and maintenance efforts addressing client-specific or mission-critical issues. Consults with clients to define business needs, challenges, and objectives. Oversee analytical studies, leads surveys, and performs data collection to support data-driven recommendations and solution development. Qualifications 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 4 additional years of related experience 8+ years of overall IT-related experience 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 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 Must be eligible to obtain Public Trust clearance. All candidates must be US Citizen or have permanent residence status (Green Card). Candidate must have lived in the United States for the past 5 years. Cannot have more than 6 months travel outside the United States within the last 5 years. Military Service excluded.

Responsibilities

Analyze data related to fraud from identity verification challenges and provide recommendations for improvements. Oversee analytical studies and perform data collection to support data-driven recommendations.