Healthcare Data Scientist & Statistician – Predictive Analytics

Goldbelt, Inc.; Washington (District of Columbia); Hybrid; USD 112,000 - 136,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company matching

Paid time off

Job summary

Goldbelt Apex is seeking a Statistician (Data Scientist) to apply advanced statistical and machine learning techniques to analyze complex healthcare datasets and generate predictive insights. Primary work will be on-site in the National Capital Region (VA/MD/DC) with situational telework possible subject to approval.

Responsibilities include building predictive models for patient demand and resource utilization, conducting quantitative analyses, ETL pipeline development, data visualization, and

Qualifications

• Bachelor's degree in a quantitative field is required.
• Minimum 5+ years of MHS or VA healthcare data analytics experience.
• Active Secret security clearance required.
• Experience with healthcare data and tools such as SQL, Python, and R.

Responsibilities

• Develop and validate predictive models to forecast healthcare outcomes.
• Conduct quantitative analyses to evaluate clinical and operational initiatives.
• Design, build, and maintain data extraction/ETL pipelines.
• Serve as a technical expert on MHS data systems and ensure data integrity.
• Develop interactive visualizations and dashboards using Tableau or Power BI.
• Translate analytical findings into clear, actionable recommendations for senior leaders.

Skills

Strong organizational skills

Education

Bachelor's degree in Healthcare Informatics, Statistics, Mathematics, Computer Science, Public Health, or related quantitative field

Tools

SQL

Python

R

Job description

Goldbelt Apex is seeking a Statistician (Data Scientist) to apply advanced statistical and machine learning techniques to analyze complex healthcare datasets and generate predictive insights. Primary work will be on-site in the National Capital Region (VA/MD/DC) with situational telework possible subject to approval.

Responsibilities include building predictive models for patient demand and resource utilization, conducting quantitative analyses, ETL pipeline development, data visualization, and