Lead Data Scientist: Strategic Analytics & ML

highmarkhealth; Pennsylvania; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Highmark Health is seeking an experienced Data Scientist to build analytical solutions for business processes. You will design, execute, and synthesize analytics to answer critical questions, using statistics, machine learning, and deep learning techniques.

Collaboration with business partners will translate insights into actionable outcomes. The role requires 5 years of Data Science experience (3 years if PhD) and a strong foundation in SQL, Python, R, and data visualization.

Qualifications

• Master's degree or BA + 3 years of relevant work experience in lieu of a Master’s degree.
• PhD preferred in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field.
• 5 years of Data Science experience required; 3 years if PhD.

Responsibilities

• Work directly with the business to understand processes and aims, then identify how analytical solutions could deliver value.
• Identify data elements needed and where to get them (including proxies).
• Assemble data sets using Highmark operational and analytic data structures.
• Deliver analytical solutions to multiple complex business problems concurrently.
• Explain methods and results through written reports, visuals, and presentations to drive decisions.
• Plan and deliver analyses largely independently, aiming for production-ready results.

Skills

Data analysis

SQL

BigQuery

Python

R

Analytical reasoning

Presentation skills

Education

Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field

Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree

Doctoral degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field

Tools

Python

R

Job description

Highmark Health is seeking an experienced Data Scientist to build analytical solutions for business processes. You will design, execute, and synthesize analytics to answer critical questions, using statistics, machine learning, and deep learning techniques.

Collaboration with business partners will translate insights into actionable outcomes. The role requires 5 years of Data Science experience (3 years if PhD) and a strong foundation in SQL, Python, R, and data visualization.