Data Scientist

About the Role

Etactics is a healthcare clearinghouse processing millions of X12 transactions including claims, remits, eligibility, and authorizations for over 4,000 providers.

We’re hiring a Data Scientist to turn that data into real operational and financial impact.

This is not a reporting role. You will build models, uncover insights, and deploy solutions that directly improve revenue cycle performance.

What You’ll Do

• Build machine learning models to improve: Claim acceptance, Denial prediction and prevention, Eligibility accuracy, Workflow efficiency
• Analyze large-scale healthcare transaction data (X12 and RCM workflows)
• Design datasets and data pipelines for modeling
• Partner with engineering to deploy models into production
• Develop tools and dashboards that drive action
• Identify inefficiencies, automation opportunities, and process improvements

What You Bring

• Bachelor’s degree in Data Science, Computer Science, or related field
• Experience with: Python (Pandas, Scikit-learn or similar), SQL or MySQL, Working with large datasets
• Experience building: Classification or regression models, Data pipelines or analytical workflows, Strong problem-solving skills and ability to work independently

Nice to Have

• Healthcare or RCM experience (claims, EHR, clearinghouse)
• X12 knowledge (837, 835, 270/271)
• AWS, APIs, or backend systems
• Spark or large-scale data processing

What Success Looks Like (Year 1)

• Built and deploy multiple production ready dashboards for C-Suite customers and end users.
• Improved a measurable KPI such as denials, efficiency, or revenue
• Data is used more proactively across the organization

Why Etactics

• Real impact with work that directly affects revenue and customer outcomes
• Ownership from building through deployment
• Growth in a complex, data-rich domain
• Close collaboration with product and engineering

Requirements

• Bachelor’s degree or equivalent experience
• Hands-on experience with data analysis and programming

Pay: From $75,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Vision insurance

Application Question(s):

• escribe a machine learning or data project you worked on. What was the problem, what approach did you take, and what was the measurable outcome?
• Have you ever taken a model or analysis into production or real-world use? If so, explain how it was used and what impact it had.
• Given a dataset of healthcare claims, how would you approach identifying and reducing claim denials?

Work Location: In person