Data Scientist, Assoc

Join a team that's using data, AI, and advanced analytics to shape the future of healthcare. As an Associate Data Scientist, you'll leverage analytics, machine learning, and AI to solve complex healthcare and operational challenges. Working in a collaborative, multidisciplinary environment, you'll build innovative solutions, uncover strategic insights, and help drive better outcomes for patients, providers, and the organization. This is an exciting opportunity to apply cutting-edge technologies, tackle meaningful challenges, and make a measurable impact every day.

Think you’ve got what it takes?

Job Duties & Responsibilities

Partner with clinical teams, operational leaders, and subject matter experts to understand challenges and develop data-driven solutions.

Prepare, validate, and transform data to ensure high-quality analyses and models.

Apply statistical, machine learning, and AI techniques to solve healthcare and business problems.

Develop, test, and optimize predictive models and analytical algorithms.

Design and enhance model features to improve accuracy, reliability, and performance.

Identify opportunities to improve patient care, hospital operations, and organizational outcomes through analytics.

Translate complex analyses into actionable insights and recommendations for technical and non-technical audiences.

Create compelling data visualizations, dashboards, and presentations that communicate findings effectively.

Present analytical findings and recommendations to stakeholders to support informed decision-making.

Manage priorities, communicate project status, and proactively address risks and issues.

Collaborate within Agile teams to deliver innovative analytics and AI solutions.

Skills & Requirements

Master’s degree in data science, mathematics, computer science, statistics, engineering, analytics, life sciences, economics, finance, business or a specific healthcare field (such as nursing, pharmacy, respiratory, etc.) required.

1 year experience in data science, data analytics, business analysis, data modeling, statistical analysis, statistical modeling, or machine learning preferred.