Health IT Data Scientist
Quick Summary
Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!
Responsibilities
~1 min read- →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.
Requirements
~2 min read- 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.
- 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.
Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.
For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.
Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.
Location & Eligibility
Listing Details
- Posted
- July 1, 2026
- First seen
- July 1, 2026
- Last seen
- August 5, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- July 1, 2026
Signal breakdown
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