Healthcare Data Scientist - Analytics & ML Impact

Albert Heijn; United States; On-site; USD 69,000 - 128,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

Life Insurance

Disability Insurance

Paid Time Off from Day One

403-B Retirement Plan

Parental Leave

Career Development

Well-being Resources

Mental Health Resources

Pet Benefits

Job summary

AdventHealth is seeking a Data Scientist to design, build, and analyze large data sets supporting business and clinical decisions. You will document processes and collaborate across departments to translate data insights into actionable improvements.

The role requires proficiency in Python, R, and SQL, plus strong communication and organizational skills. Healthcare context and cross-functional teamwork enable impact at scale.

Qualifications

• Trained in Data Science methods such as statistics and ML.
• Proficient in Python, R, and SQL.
• Strong written and verbal communication.
• Strong organizational skills and time management.
• Independence with collaborative teamwork.
• Proficient in MS Office and database tools.
• Willing to accept direction and feedback.

Responsibilities

• Designs, builds, and analyzes large data sets for business insights.
• Documents thought processes, code, and conclusions.
• Apply statistical methods and ML to drive cost, revenue, outcomes.
• Mine and analyze data from enterprise sources using Python, R, SQL.
• Collaborate with departments to identify data-driven features.
• Prioritize projects and manage multiple relationships.

Skills

Data Science methods

Python

R

SQL

Communication skills

Organizational skills

Independence

MS Office

Database management

Education

Bachelor's degree

Data Science / CS related field

Tools

Python

R

SQL

Job description

AdventHealth is seeking a Data Scientist to design, build, and analyze large data sets supporting business and clinical decisions. You will document processes and collaborate across departments to translate data insights into actionable improvements.

The role requires proficiency in Python, R, and SQL, plus strong communication and organizational skills. Healthcare context and cross-functional teamwork enable impact at scale.