Data Scientist I

Duly Health and Care • Downers Grove, IL

2d • $65,000 - $85,000

About The Position

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. The 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. No prior healthcare or Epic experience is required; training is provided.

The role develops and evaluates predictive models, supports their deployment and monitoring, and helps design and test LLM-powered applications. It also collaborates with technical teams and business stakeholders to identify useful AI/ML applications, communicate findings, and advance responsible AI practices.

Requirements

• 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, such as pandas and scikit-learn, and SQL.
• 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 ability to explain results to all levels of the organization.
• Ability to work independently and in a team-oriented environment.
• Intellectual curiosity and desire to learn and adopt new AI techniques.

Nice To Haves

• Experience with LLMs, prompt engineering, or generative AI frameworks.
• Experience with Databricks, MLflow, or other cloud ML platforms; Azure is preferred.
• Master's degree in a quantitative field.
• Awareness of ethical AI, model bias, and data privacy considerations.

Responsibilities

• Develop, validate, and document predictive models using enterprise data.
• Perform exploratory data analysis, feature engineering, and model evaluation.
• Support model deployment, monitoring, and retraining using the organization's ML platform and MLOps practices.
• Translate model results into clear findings, visualizations, and recommendations for stakeholders.
• Help design, prototype, and test LLM-powered applications, including document summarization, text extraction, question answering, and retrieval-augmented generation (RAG).
• Develop and refine prompts, and evaluate output quality, accuracy, bias, and safety.
• Support the creation of evaluation frameworks and testing datasets for generative AI use cases.
• Follow organizational standards for responsible AI, data privacy, and protection of PHI/PII.
• Document model designs, assumptions, limitations, and release notes.
• 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.
• Perform all other duties as assigned.

Benefits

• Comprehensive medical, dental, and vision benefits, including healthcare navigation assistance.
• Mental health benefit at no cost.
• Employer-provided life and disability insurance.
• $5,250 tuition reimbursement per year.
• Immediate 401(k) match.
• 40 hours of paid volunteer time off.
• Up to 12 weeks of parental leave at 100% pay and a financial benefit for adoption and surrogacy for non-physician team members once eligibility requirements are met.
• Additional compensation may be available through shift differentials, bonuses, and other incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level