Senior Data Scientist

At HCSC, we consider our employees the cornerstone of our business and the foundation to our success. We enable employees to craft their career with curated development plans that set their learning path to a rewarding and fulfilling career.

Come join us and be part of a purpose driven company who is invested in your future!

Job Summary

About the team:

HCSC is doing innovative and important work to align incentives and outcomes through actionable provider insights. The Provider and Network Data Science (PNDS) team delivers advanced analytics and insights as we lead the way to improve healthcare through ensuring coverage that is affordable, accessible, appropriate, effective and equitable.

An ideal candidate will be interested in a role working to leverage data science and advanced analytics in pursuit of better healthcare outcomes for the community. Our team develops innovative solutions to existing or emerging healthcare challenges. We use complex healthcare datasets and a robust technical toolkit to develop and implement predictive models and advanced statistical insights.

About the role:

PNDS seeks an experienced, motivated Senior Data Scientist to shape the future of healthcare. The Senior Data Scientist will create actionable, data-driven products for organization leaders using their expertise in healthcare, machine learning, statistics, and stakeholder management. This role will independently transform large datasets into a compelling narrative about how to lower costs and improve network quality using the power of machine learning.

What will you do?

• Creatively solve problems using large datasets from a wide variety of internal and external sources, including claims and provider data
• Create, develop, and implement end-to-end machine learning models and advanced analytical solutions to support and influence business needs
• Partner closely with technical and non-technical audiences, including senior leadership, clinical experts, business teams, and subject matter experts, to inform development and drive adoption
• Proactively identify, communicate, and solution gaps, opportunities, and key considerations
• Document and share findings and observations, including through technical reports, visualizations, and analyses

Required Job Qualifications:

• Bachelor’s degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential; OR Master’s degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 7 years experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.
• Strong learning and growth mindset
• Customer focus
• Strong interpersonal, verbal and written communication skills.
• Proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.

Preferred Job Qualifications:

• Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience. Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

HCSC Employment Statement:

HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.