Exact Sciences Logo

Exact Sciences

Data Scientist

Posted 25 Days Ago
Remote
6 Locations
85K-135K Annually
Mid level
Remote
6 Locations
85K-135K Annually
Mid level
Data Scientist responsible for data analysis using advanced statistical algorithms and machine learning techniques to extract insights from large datasets. Collaborates with teams, visualizes data, and develops models to influence business decisions.
The summary above was generated by AI

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 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.

#LI-CB1

Salary Range:

$85,000.00 - $135,000.00

 

The annual base salary shown is a national range for this position on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible, and is eligible to be considered for company stock at hire and on an annual basis.

 

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 and stay up to date on what’s new at Exact Sciences.

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.

Top Skills

MS Office
Python
R
Spark
SQL

Similar Jobs

6 Days Ago
Remote
2 Locations
150K-180K Annually
Mid level
150K-180K Annually
Mid level
Insurance • Legal Tech • Social Impact
Join a fast-growing startup as a Data Scientist, building a central data team, designing metrics, and applying data analysis to support client experiences.
Top Skills: PythonRSQL
7 Days Ago
Remote
2 Locations
3-5
Mid level
3-5
Mid level
Fintech • Machine Learning • Social Impact • Software • Financial Services
The Data Scientist II will lead data-driven projects, applying machine learning to enhance business processes and customer experiences.
Top Skills: PandasPythonSklearnSQLTensorFlow
13 Days Ago
Remote
USA
207K-244K Annually
Senior level
207K-244K Annually
Senior level
Cloud • Fintech • Cryptocurrency • NFT • Web3
As a Staff Data Scientist, you will develop analytics models, test product metrics, and synthesize data insights to support strategic initiatives for the Coinbase Wallet team.
Top Skills: PythonSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account