Data Scientist I

Information and Transform If you are a current Duly/SBC/QMG employee, please apply through the Internal Career Site.

At Duly Health and Care , you are supported to do your best work and make a meaningful impact every day. You will be part of a collaborative, physician-led team that works as one and puts patients at the center of everything we do.

With a connected network of providers, care teams, and services across primary and specialty care, surgery centers, imaging, lab, and therapy, you are part of a system designed to deliver high-quality, coordinated care. Together, we create an environment where you can grow, contribute, and help improve the experience and outcomes for every patient we serve.

Benefits:

• Comprehensive medical, dental, and vision benefits that include healthcare navigation assistance. • Access to a mental health benefit at no cost. • Employer provided life and disability insurance. • $5,250 Tuition Reimbursement per year. • Immediate 401(k) match. • 40 hours paid volunteer time off. • A culture committed to community engagement and social impact. • Up to 12 weeks parental leave at 100% pay and a financial benefit for adoption and surrogacy for non-physician team members once eligibility requirements are met.

Primary Purpose

The Data Scientist I is an early-career role within the Data & Analytics team, working with the AI/ML team to build predictive models and generative AI solutions that improve patient care, operations, and the colleague experience. This position supports the full lifecycle of data science work, from exploring data and developing models to testing, deploying, and monitoring them, with a growing emphasis on large language model (LLM) applications. The role is well suited to someone with strong quantitative and programming skills who is eager to apply machine learning and GenAI in a healthcare setting. No prior healthcare or Epic experience is required; we will train you.

Major Responsibilities

Predictive modeling and machine learning (40%)

Develop, validate, and document predictive models (e.g., classification, regression, forecasting, risk stratification) using enterprise data

Perform exploratory data analysis, feature engineering, and model evaluation

Support deployment, monitoring, and retraining of models using the organization's ML platform and MLOps practices

Translate model results into clear findings, visualizations, and recommendations for stakeholders

Generative AI and LLM solutions (40%)

Help design, prototype, and test LLM-powered applications such as document summarization, text extraction, question answering, and retrieval-augmented generation (RAG) solutions

Develop and refine prompts, and evaluate output quality, accuracy, bias, and safety

Support the creation of evaluation frameworks and testing datasets for GenAI use cases

Follow organizational standards for responsible AI, data privacy, and the protection of PHI/PII

Document model designs, assumptions, limitations, and release notes

Collaboration and continuous improvement (20%)

Partner with data engineers, architects, analysts, and business stakeholders to define problems and identify high-value AI/ML use cases

Communicate technical concepts to non-technical audiences, including clinical and operational leaders

Learn from senior data scientists through code reviews and mentoring

Stay current with advances in machine learning and generative AI and share learnings with the team

All other duties as assigned

Minimum Education and Experience

Bachelor's degree in data science, statistics, mathematics, computer science, engineering, or a related quantitative field; or 2 years of related experience; or an equivalent combination of education and experience

0-2 years of experience applying machine learning or statistical modeling (internships, research, capstone projects, and academic coursework count)

Proficiency in Python (e.g., pandas, scikit-learn) and SQL

Experience with LLMs, prompt engineering, or GenAI frameworks beneficial

Experience with Databricks, MLflow, or other cloud ML platforms (Azure preferred) beneficial

Master's degree in a quantitative field a plus

Healthcare or Epic experience not required; training provided

Minimum Knowledge, Skills, and Abilities (KSA)

Solid foundation in statistics, probability, and machine learning concepts

Ability to build and evaluate models and avoid pitfalls such as overfitting and data leakage

Understanding of how LLMs work, including their strengths and limitations

Strong analytical, organizational, and problem-solving skills

Strong communication skills and the ability to explain results to all levels of the organization

Ability to work both independently and in a team-oriented environment

Intellectual curiosity and a desire to learn and adopt new AI techniques

Awareness of ethical AI, model bias, and data privacy considerations helpful

If you are committed to putting our patients first and helping shape the future of care, you belong at Duly.

The compensation for this role includes a base pay range of $65,000 - $85,000, with the actual pay determined by factors such as skills, experience, education, certifications, geographic location, and internal equity. Additional compensation may be available through shift differentials, bonuses, and other incentives. Base pay is only a portion of the total rewards package.

Artificial Intelligence Disclosure

Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.