Healthcare Analytics Leader - Decision Scientist (Hybrid)

Cambia Health Solutions; Grand Forks (ND); Hybrid; USD 95,000 - 190,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k) match

Paid time off

Job summary

Cambia Health Solutions seeks a Healthcare Decision Scientist to turn data into actionable decisions that improve care and efficiency. You will work within Data & Analytics, applying advanced analytics and ML to real business problems across multiple regions.

The role requires strong quantitative training, collaboration with cross-functional teams, and delivery of measurable business value through predictive and descriptive modeling.

Qualifications

• Master's degree in a strongly quantitative field; PhD preferred.
• 3+ years of progressive, related work experience; BA/BS with 5 years experience considered.
• Experience with ML, data mining, and modeling techniques.
• Experience cleaning, aggregating, and preprocessing data and creating complex SQL queries.

Responsibilities

• Design and execute analyses to uncover opportunities for business improvement.
• Collaborate with stakeholders across functions to frame ambiguous challenges into analytical questions.
• Apply techniques (e.g., regression, forecasting, clustering) to develop predictive and descriptive models.
• Partner with business teams to embed insights into operational workflows and measure impact.
• Present findings to leaders and translate analytics into actionable recommendations.

Skills

Statistical modeling

Machine learning

SQL querying

Python

BI tools

Communication

Team collaboration

Education

Master's degree in quantitative field

PhD preferred

BA/BS with 5+ years experience

Tools

Python

R

SQL

Job description

Cambia Health Solutions seeks a Healthcare Decision Scientist to turn data into actionable decisions that improve care and efficiency. You will work within Data & Analytics, applying advanced analytics and ML to real business problems across multiple regions.

The role requires strong quantitative training, collaboration with cross-functional teams, and delivery of measurable business value through predictive and descriptive modeling.