Fraud AI / Data Healthcare Senior Consultant (remote)
$113,000–$188,000 year
RemoteUnited States or Arlington, Virginia, United States
Job Summary
Design and implement scalable AI and data solutions from requirements to deployment, developing and tuning fraud and FinCrime prevention rules in various programming languages. Optimize machine learning models and analytics workflows while leading data engineering efforts including ETL pipelines and cloud architectures. Partner with clients to identify AI use cases, translate business needs into solutions, and own deliverables for executive presentations. Mentor junior consultants and ensure solutions align with governance, security, and responsible AI standards. Requires 4+ years of experience in AI and data science, proficiency in Python/R and SQL, and a Bachelor's degree. Salary ranges from $113,000 to $188,000. Travel is up to 50% for candidates outside the DMV or NYC area.
Required Qualifications
- Ability to Obtain Public Trust
- Bachelor's degree from an accredited college/university
- Must be located within the United States
- US Citizen
- Must be able to OBTAIN and MAINTAIN a Federal or DoD 'PUBLIC TRUST'
- 4+ years of experience in AI, data science, analytics, or engineering
- Strong development expertise in Python/R, SQL, and data modeling
- Experience working for or supporting healthcare technology, healthcare business or healthcare process initiatives
- Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
- Hands-on experience developing, testing, and validating machine learning and other AI models at scale
- Cloud experience (AWS, Azure, GCP) including data and ML services
- Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
- Proven ability to communicate complex concepts to non‐technical audiences
- Bachelor's degree required
- Master's preferred
Desired Qualifications
- Experience building fraud and/or fincrime monitoring rules in one or more programming languages
- Experience deploying models into production (MLOps)
- Experience with AI platforms (Databricks, Palantir, Vertex AI, SageMaker)
- Prior consulting or client‐facing delivery experience
- Hands-on experience with financial crime compliance technology and data solutions, e.g., Oracle Mantas, Actimize, Fircosoft, LexisNexis Bridger, World-Check, Dow Jones, Chainalysis, Elliptic, TRM Labs, etc.
- Federal or State Medicaid experience, particularly experience with fraud prevention and detection and/or program integrity experience with Medicaid
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