Senior Data Scientist, Healthcare AI & ML Innovator

Health Care Service; Chicago (IL); Vor Ort; USD 110.000 - 140.000; Vollzeit

Benefits dieser Stelle

Health benefits

401(k)

Pension plan

Paid time off

Paid parental leave

Disability insurance

Life insurance

Employee assistance program

Paid holidays

Tuition reimbursement

Zusammenfassung

Health Care Service Corporation is seeking an Associate Data Scientist to solve business problems using advanced mathematical and statistical methods, under direction from senior staff. You will collect and analyze data related to health status, provider characteristics, and internal processes to build predictive models and support product functions.

You will collaborate with teams, communicate findings clearly, and evaluate trade-offs among accuracy, latency, and cost, applying ML, data

Qualifikationen

• Bachelor's degree or higher in a quantitative field with required work experience
• Strong learning and growth mindset
• Excellent written and verbal communication skills
• Proficiency in data analysis, ML, data visualization, programming, distributed computing, or healthcare

Aufgaben

• Apply statistical analyses to validate trends or patterns identified by business analysts.
• Build predictive algorithms and visualizations to support business decisions.
• Conduct experiments to generate data for business use.

Kenntnisse

Data analysis

Machine learning

Data visualization

Python

Ausbildung

Bachelor's degree in quantitative field

Master's degree in quantitative field

Ph.D. in quantitative field

Tools

Databricks

Microsoft Foundry

LangChain

Arize

Jobbeschreibung

Health Care Service Corporation is seeking an Associate Data Scientist to solve business problems using advanced mathematical and statistical methods, under direction from senior staff. You will collect and analyze data related to health status, provider characteristics, and internal processes to build predictive models and support product functions.

You will collaborate with teams, communicate findings clearly, and evaluate trade-offs among accuracy, latency, and cost, applying ML, data