Data Scientist 1 - Healthcare

Baylor Scott & White Health • Trenton, NJ • 6h ago

JOB SUMMARY

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs.

We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes.

ESSENTIAL FUNCTIONS OF THE ROLE

Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations.

Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives

Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data.

Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care.

Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools.

KEY SUCCESS FACTORS

The ideal candidate will have some of the following skills and an eagerness to learn the rest.

Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required.

Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field.

Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals.

Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc.

Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests.

Problem Solving: A passion for solving puzzles and digging into data.

Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio.

BENEFITS

Our competitive benefits package includes the following

· Immediate eligibility for health and welfare benefits

· 401(k) savings plan with dollar-for-dollar match up to 5%

· Tuition Reimbursement

· PTO accrual beginning Day 1

Note: Benefits may vary based upon position @type and/or level

QUALIFICATIONS

EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification

EXPERIENCE - 3 Years of Experience

As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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