Senior Healthcare AI/ML Lead Data Scientist

CareFirst; Baltimore (MD); Hybrid; USD 119,000 - 236,000; Full time

Job summary

CareFirst BlueCross BlueShield seeks an experienced data science professional to lead enterprise ML/AI initiatives in a hybrid work model serving the greater Baltimore/Washington area.

You will translate business needs into data-driven solutions, mentor junior data scientists, and drive analytics projects across Member Identification, Attribution, data sharing, and population health management while collaborating with IT/Data Management partners.

Qualifications

• Education: Bachelor's degree in statistics, mathematics, computer science or related field, or in lieu of a Bachelor's degree, an additional 4 years of relevant work experience.
• Experience: 8 years of relevant work experience.
• Preferred qualifications: Prior healthcare analytics experience, experience with delivering work consistently to business partners.

Responsibilities

• Leads data mining and extraction activities and applies algorithms to derive insights for ID/STRAT, attribution, data extracts/sharing, population health, predictive modeling and program evaluation.
• Synthesizes analytical findings for consumption by teams and senior executives.
• Leads proliferation of ML/AI/DS solutions.
• Applies AI techniques to achieve concrete business goals within data constraints.
• Mentors and develops junior data scientists.
• Translates business priorities into data science deliverables.
• Leads implementation of ML/AI/DS best practices for new data products and builds scalable software.

Skills

Communication

Data science tools

Data exploration

Model evaluation

Statistical modeling

Advanced SQL

Deadline / customer service

Education

Bachelors in Statistics/Math/CS or related

Job description

CareFirst BlueCross BlueShield seeks an experienced data science professional to lead enterprise ML/AI initiatives in a hybrid work model serving the greater Baltimore/Washington area.

You will translate business needs into data-driven solutions, mentor junior data scientists, and drive analytics projects across Member Identification, Attribution, data sharing, and population health management while collaborating with IT/Data Management partners.