The Health IT Data Scientist II will develop advanced analytical models and predictive solutions that improve operational performance, support strategic planning, and enhance healthcare decision-making across DHS Health IT initiatives. This is a remote position. US Citizenship is required for consideration. Ability to obtain and retain a public trust clearance is required for consideration.
Essential Responsibilities
- Develop predictive models and machine learning algorithms.
- Perform statistical analyses on structured and unstructured data.
- Identify trends, patterns, and performance indicators.
- Develop forecasting models supporting operational planning.
- Design data visualizations and executive dashboards.
- Collaborate with business stakeholders to identify analytical opportunities.
- Validate analytical models and document methodologies.
- Support AI and advanced analytics initiatives.
- Present analytical findings to executive leadership.
- Stay current with emerging data science technologies and best practices.
Minimum Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related discipline.
- Minimum seven (7) years of data science experience.
- Experience with Python, R, SQL, and machine learning techniques.
- Strong statistical analysis and predictive modeling skills.
- Experience with enterprise analytics platforms.
- Ability to obtain DHS Public Trust suitability.
Preferred Qualifications
- Master's degree in Data Science or related discipline.
- Experience supporting Federal healthcare programs.
- AI/ML platform experience.
- Experience with Power BI and Tableau.
Compensation
Expected Salary Range: $110,000-$120,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.
This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.