Data Scientist - Healthcare

Stellar IT Solutions
Orlando, FL, United States
3 months ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$120,640.0 - $131,040.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Statistical Hypothesis Testing Python (Programming Language) Machine Learning Regression Analysis SQL Databases Cloud Platform System Snowflake Statistics Packages Programming Languages

Job description

  • Develop, enhance, and optimize statistical and machine learning models to improve accuracy and business outcomes
  • Analyze large-scale healthcare datasets, including claims and consumer data, to generate actionable insights
  • Apply statistical methods such as:
  • Hypothesis testing (t-tests, etc.)
  • Regression analysis
  • Advanced modeling techniques
  • Build and maintain data pipelines and analytical datasets using SQL and cloud-based platforms
  • Partner with stakeholders to translate business problems into data-driven solutions
  • Create ad hoc reports and dashboards to support leadership decision-making
  • Provide analytical rigor and ensure models meet academic and statistical best practices
  • Present findings and insights to business and clinical stakeholders, with potential participation in conferences and external forums

Requirements

Do you have experience in Statistical analysis tools?, Do you have a Bachelor’s degree?, Must have: healthcare experience (Claims data highly preferred), SQL, Python, Machine Learning, * Bachelor’s degree in Data Science, Statistics, Mathematics, or related field

  • Healthcare industry experience required, specifically:
  • Claims data across payers/providers
  • Strong experience with:
  • SQL (must-have)
  • Data analysis and statistical modeling
  • Proven ability to work with cross-functional stakeholders and communicate complex insights clearly

Preferred Qualifications

  • Master’s degree (strongly preferred) in Data Science, Statistics, or related field
  • Experience with:
  • Snowflake (preferred)
  • Python or similar programming languages

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