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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
The Senior Data Scientist will drive operational excellence and strategic decision-making through advanced analytics, machine learning, and engineering. The individual in this role will lead through design, development, and deployment of data and machine learning-driven solutions to business problems. In this role, the Senior Data Scientist will work at the nexus of business priorities—patient insights, healthcare analytics, and operational efficiency —applying data science techniques to optimize operations and enhance outcomes across our mission-driven initiatives.
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.
- Mentor and coach junior data science staff.
- Lead and coordinate data science projects from inception to production deployment.
- Lead team to solve complex problems using sophisticated analytical thought to identify and implement innovative solutions.
- Influence product teams through presentation of data-based recommendations.
- Work with stakeholders to identify, refine, prioritize, and formalize requirements for machine learning-based solutions to business problems.
- Act as resource and subject matter expert in core team and/or cross-functional meetings.
- Ability to communicate complex results to technical and non-technical audiences.
- Ability to work with minimal supervision.
- Ability to work in a highly collaborative environment.
- Excellent verbal and written communication skills.
- Informally lead staff; responsibilities include, but are not limited to, organizing and prioritizing work, training/developing, and providing feedback on work performance.
- Communicate goals clearly to employees to ensure understanding and success in achieving them.
- Motivate and inspire employees to do their best work through coaching.
- Maintain morale and support employee engagement initiatives.
- 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.
- 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.
Minimum Qualifications
- Bachelor’s degree in computer science, data science, information technology, or related field; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience in lieu of Bachelor’s degree; or Associate’s degree and 2 years of relevant experience.
- 6+ years of experience in a data scientist role.
- 6+ years of experience working with large datasets for drawing business insights.
- 6+ years of experience with artificial intelligence and machine learning algorithms.
- 4+ years of demonstrated experience working with cloud computing and cloud engineering.
- 4+ years of demonstrated experience working with SQL in an analytics capacity.
- 2+ years of experience developing data science pipelines with CI/CD build processes.
- 2+ years of experience training and developing junior staff.
- Professional working knowledge of statistics and modeling techniques.
- Professional working knowledge of open-source AI models.
- Proficient in Python and/or R.
- Demonstrated experience and mastery of machine learning.
- Demonstrated ability and history of learning new technologies.
- 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.
- Professional working knowledge of Natural Language Processing, Information Retrieval, or Recommender Systems.
- Professional working knowledge of distributed computing and big data technologies, such as Spark or related technologies.
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Salary Range:
$129,000.00 - $208,000.00The annual base salary shown is for this position located in US - WI - Madison on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible, and is eligible to receive company stock upon hire as well as annually.
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 ourcompliance hub. The documents summarize important details of the law and provide key points that you have a right to know.
