Data Scientist

What you'll do

• Design, build, validate, and maintain models; perform exploratory analysis, feature engineering, and data validation.
• Manage projects through deployment and collaborate with data engineers and architects to source and validate data.
• Document and communicate analytical work, troubleshoot issues, and mentor junior data scientists.

What they ask for

• Bachelor’s degree in a related field; 9+ years of relevant experience may be considered in lieu of a degree.
• 3–6 years of experience in data science, statistics, or a related field.
• Proficiency in Python or R and experience using SQL; experience with supervised and unsupervised machine learning.
• U.S. citizenship and ability to obtain and maintain the required security clearance, including Public Trust; active Secret or Top Secret also satisfies this requirement.

Nice to have

• Master’s degree in a related field; experience with Jupyter notebooks, Git, or collaborative coding workflows.
• Experience supporting healthcare, claims, insurance, or federal programs; familiarity with NLP or deep learning frameworks.

Pay

USD 137,000–155,000 per-year-salary (base salary)

Tools

Python, R, SQL, AWS, Azure, GCP, Jupyter notebooks, Git

AI focus

Applies statistical modeling and machine learning to claims and healthcare data, including supervised and unsupervised techniques; NLP and deep learning are preferred areas of familiarity.