Rockefeller Philanthropy Advisors is hiring a Senior Data Scientist to lead advanced analytics initiatives focused on detecting and mitigating fraud in public healthcare programs. You will design and implement innovative fraud detection algorithms, integrate and link large-scale datasets, and translate complex data into actionable insights.
What You'll Do
- Lead the design, development, and deployment of AI/ML fraud detection and risk-scoring models for public healthcare programs.
- Architect secure data pipelines to integrate, clean, and standardize heterogeneous datasets, including federal, state, and open-source data.
- Apply deterministic and probabilistic record linkage techniques within secure environments to ensure data quality and compliance.
- Conduct research on fraud taxonomies, behavioral indicators, and statistical methods to inform model development.
- Collaborate with stakeholders and other agencies to incorporate domain expertise into analytical workflows.
- Develop and maintain reproducible analytical outputs, including code, datasets, dashboards, and documentation.
- Translate complex analytical findings into actionable recommendations for diverse audiences through reports, dashboards, and briefings.
- Provide technical leadership and mentorship to multidisciplinary teams, promoting agile, transparent, and collaborative practices.
What We're Looking For
- 10+ years of experience in data science, statistical modeling, and AI/ML analytics, with a proven track record of operationalizing advanced solutions.
- Expertise in fraud detection, anomaly detection, or risk scoring in healthcare, finance, or other regulated sectors.
- Experience integrating and linking large-scale, multi-source datasets, including restricted and unstructured data.
- Proficiency in Python, R, and distributed processing frameworks (e.g., Spark); experience with secure cloud environments.
- Deep understanding of statistical methods, supervised and unsupervised learning, and explainable AI techniques.
- Familiarity with federal data privacy laws and secure data handling practices (HIPAA).
- Excellent written and verbal communication skills with ability to convey technical insights to varied audiences.
- Master’s or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, or related discipline.
Nice to Have
- Experience with Medicare, Medicaid, or other large-scale healthcare claims and provider datasets.
- Knowledge of interagency data sharing agreements (MOUs) and secure statistical research environments.
- Track record of publishing or presenting in professional or policy forums.
Technical Stack
- Python
- R
- Spark
Team & Environment
You will work within multidisciplinary teams in a collaborative, supportive, and professionally enriching environment.
Benefits & Compensation
- Flexible, remote work arrangement suitable for a part-time schedule (estimated 40 hours/month).
- Opportunity to contribute to public healthcare fraud prevention at a national scale.
- Collaborative, supportive, and professionally enriching work environment.
- Engagement with advanced AI/ML technologies and analytical methods.
- Career development and mentorship opportunities within a specialized field.
Work Mode
This is a fully remote position open to candidates based in the United States.
Rockefeller Philanthropy Advisors is an equal opportunity employer.