Associate Data Scientist

Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

We are seeking a forward-thinking and motivated Associate Data Scientist with a passion for artificial intelligence (AI) to help shape the future of data-driven decision-making in healthcare. In this role, you will leverage the power of AI and machine learning to build intelligent solutions that enhance patient outcomes, improve operational efficiency, and support our mission to detect cancer earlier and save lives.

As part of our data science team, you will design, develop, and deploy AI-driven models and systems that solve complex problems across a range of business priorities—including predictive analytics, personalized patient insights, and intelligent automation of critical workflows. You’ll work closely with cross-functional partners to translate business challenges into scalable AI solutions, helping to transform raw data into actionable intelligence.

This is a high-impact opportunity for someone eager to apply AI in meaningful ways, experiment with advanced techniques like deep learning and NLP, and grow within a team committed to innovation, collaboration, and real-world outcomes.

Essential Duties

Include, but are not limited to, the following:

• Apply machine learning, deep learning, and artificial intelligence techniques to uncover patient behavioral insights, improve healthcare delivery, and drive financial sustainability.
• Analyze patient and healthcare datasets to identify trends, optimize interventions, and align services with evolving patient needs.
• Use advanced analytics methods to extract value from business data.
• Visualize information and develop reports on results of data analysis.
• Influence product teams through presentation of data-based recommendations.
• Ability to communicate complex results to technical and non-technical audiences.
• Willingness and ability to learn new technologies on the job.
• Ability to work with minimal supervision.
• Desire to work in a highly collaborative environment.
• Ability to lift up to 10 pounds for approximately 5% of a typical working day.
• Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 80% of a typical working day.
• Ability and means to travel between Madison locations.
• Ability to travel 5% of working time away from work location, may include overnight/weekend travel.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

• Bachelor’s degree in Statistics, Computer Science, or a related field; or High School Degree/General Education Diploma and 4 years of relevant experience in lieu of Bachelor’s degree; or Associate Degree and 2 years of relevant experience.
• 2+ years of experience working with large datasets for drawing business insights.
• 2+ years of experience working with SQL in an analytics capacity.
• Demonstrated working knowledge in Python or R.
• Professional working knowledge of machine learning.
• Professional working knowledge of statistics and modeling techniques.
• Demonstrated ability to perform the essential duties of the position with or without accommodation.
• Authorization to work in the United States without sponsorship.

Preferred Qualifications

• Master’s degree in science, technology, engineering, mathematics, or related field of study.
• Professional working knowledge with Natural Language Processing, Information Retrieval, or Recommender Systems.
• Professional working knowledge with distributed computing and big data technologies such as Spark or related technologies.
• Experience in cloud environments.

Salary Range:

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

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We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company’s affirmative action program.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.