Job Description

Sr. Data Scientist at Exact Sciences summary:

The Senior Data Scientist at Exact Sciences leverages advanced machine learning, statistical modeling, and big data techniques to analyze complex healthcare datasets. They develop predictive and economic models to support decision-making in cancer prevention, detection, and treatment. The role involves collaboration, data visualization, implementing innovative analytic tools, and communicating insights to both technical and non-technical stakeholders.

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

The Senior Data Scientist performs data analysis to extract knowledge or insight from structured or unstructured data. This position will apply advanced statistical algorithms for analysis of large-scale, complex datasets. This position will keep up to date with cutting-edge techniques in programming, machine learning, big data, and healthcare modeling and will seek ways to advance the organization’s capabilities in analytics.

Essential Duties

Include but are not limited to the following:

• Apply machine learning, deep learning, and artificial intelligence techniques.
• Use advanced analytics methods to extract value from business data.
• Perform large-scale experimentation and build data-driven models to answer business questions.
• Create hypotheses and experiments to identify hidden relationships and construct new analytics methods.
• Develop and implement Markov decision process models and healthcare economic models.
• Articulate a vision and roadmap for the utilization of data as a valued corporate asset.
• Visualize information and develop reports on results of data analysis.
• Influence product teams through presentation of data-based recommendations.
• Spread best practices to analytics and product teams.
• Implement new tools to make data analysis more efficient.
• Ability to work with minimal supervision.
• Ability to work in a highly collaborative environment.
• Ability to communicate complex results to technical and non-technical audiences.
• Excellent verbal and written communication skills.
• 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.
• Regular and reliable attendance.
• 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.
• 3+ years of experience working with large datasets for drawing business insights.
• 1+ years of experience in a data science role.
• Professional working knowledge of machine learning; including solving complex business problems, predictive modeling, leveraging both structured and unstructured data sources, relational databases, and SQL.
• Professional working knowledge of statistics and modeling techniques.
• Fluent in Python or R programming.
• Demonstrated ability to learn new technologies.
• Proficient in Microsoft Office.
• 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.
• Experience in cloud environments.
• Professional working knowledge of distributed computing and big data technologies, such as Spark or related technologies.
• Professional working knowledge of statistical methodologies and tools (R, SAS, SPSS, etc.), mathematical optimization, control theory, and time-series analysis. 
• Professional working knowledge of Natural Language Processing, Information Retrieval, or Recommender Systems.

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Salary Range:

$99,000.00 - $168,000.00

 

The annual base salary shown is for this position located in US - WI - Madison on a full-time basis. In addition, this position is bonus eligible.

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 .

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

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.

Keywords:

Data Science, Machine Learning, Statistical Modeling, Healthcare Analytics, Big Data, Predictive Modeling, Python, R Programming, Artificial Intelligence, Data Visualization

Job Tags

Full time, For contractors, Work at office, Local area, Night shift,

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