Data Science Co-op - Spring or Summer 2027

Boston Scientific Gruppe; Maple Grove (MN); Hybrid; USD 43,000 - 74,000; Full time

Benefits offered by this job

Relocation assistance

Housing assistance

Job summary

Boston Scientific in Maple Grove, MN seeks a Data Science Co-op for Spring or Summer 2027 to support cross-functional teams with data-driven insights to improve product quality, process efficiency and business decisions. You will gain hands-on experience with large datasets, predictive models, and data pipelines in a medical device context.

You will collaborate on automation of analytics pipelines, build dashboards, and communicate findings to diverse stakeholders while aligning with eligibility

Qualifications

• Pursuing a bachelor’s or graduate degree in Data Science, Industrial Engineering, Computer Science or Applied Mathematics/Statistics.
• Must be eligible to work in the U.S. without sponsorship for employment-based work authorization.
• Commit to an 8-month co-op program period starting January 2027 or May 2027 with in-office presence four days per week.

Responsibilities

• Collect, clean, and preprocess experimental and production process data for analysis.
• Collaborate with cross-functional teams to identify high-value use cases for generative AI in process development.
• Explore applications of large language models (LLMs) and develop prompt engineering strategies.
• Apply statistical methods and ML techniques to identify trends and areas for process improvement.
• Develop predictive models and dashboards to support decision-making in process development.
• Document data workflows, models, and analysis results clearly and reproducibly.
• Create visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Contribute to automation of data analysis pipelines and tool integration.

Skills

Python

ML Techniques

Data Visualization

Communication

Education

BSc/MS in Data Science or related field

Tools

Pandas

NumPy

SQL

Job description

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Data Science Co-op - Spring or Summer 2027

Onsite Location(s):

Maple Grove, MN, US, 55311

Additional Location(s): N/A

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit- High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

About the role:

We will consider qualified applicants of all ages who are starting (or restarting) their careers

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model, requiring employees to be in our local office at least four days per week.

Relocation and housing assistance may be available to those who meet the eligibility criteria.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time

As a Data Science Co-op participant, you will play a key role in supporting cross-functional teams by leveraging data-driven insights to improve product quality, process efficiency, and business decision-making. You will gain hands‑on experience working with large datasets, developing predictive models, and building data pipelines that support advanced analytics and process development initiatives. This role offers a unique opportunity to apply data science techniques in a real-world medical device manufacturing environment, contributing to innovation and continuous improvement at Boston Scientific.

Your responsibilities will include:

• Collect, clean, and preprocess experimental and production process data for analysis.
• Collaborate with cross‑functional teams to identify high‑value use cases where generative AI can accelerate process development and innovation.
• Explore applications of large language models (LLMs) and develop prompt engineering strategies for such areas as automating documentation and report drafting.
• Apply statistical methods and machine learning techniques to identify trends, correlations, and areas for process improvement.
• Develop predictive models and dashboards to support decision‑making in process development.
• Collaborate with process engineers, scientists, quality teams and others to translate business and technical needs into analytical solutions.
• Document data workflows, models, and analysis results in a clear and reproducible manner.
• Create visualizations and reports to communicate findings to both technical and non‑technical stakeholders.
• Contribute to automation of data analysis pipelines and integration of tools/software.

Required Qualifications:

• Must graduate between December 2027 – Spring 2028
• Currently pursuing a bachelor’s or graduate level degree majoring in Data Science, Industrial Engineering, Computer Science or Applied Mathematics/Statistics
• Must be able to commit to the 8‑month co‑op program period:
  • January 11th - August 6th or 13th, 2027
  • May 17th or May 24th – December 17th, 2027
• Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment‑based work authorization
• Must have reliable transportation to and from the Maple Grove, MN Boston Scientific Corporate location
• Must be proficient in Python
• Minimum of 3 months to 1 year of experience in applying machine learning techniques through coursework, internships, research, or project work

Preferred Qualifications:

• Experience with data manipulation libraries (e.g., pandas, NumPy, SciPy) and visualization tools (e.g., matplotlib, seaborn, Plotly).
• Familiarity with machine learning frameworks (e.g., scikit‑learn, PyTorch, TensorFlow, or similar).
• Knowledge of experimental design, statistical analysis, and hypothesis testing.
• Experience working with structured data (SQL, relational databases) and unstructured datasets.
• Ability to communicate technical findings effectively to multidisciplinary teams.
• Detail‑oriented with strong problem‑solving and organizational skills.
• Interest in applying data science to healthcare and medical device innovation.
• Previous internship or co‑op experience
• Desire to work in a medical device company where real products get manufactured

Requisition ID:634924

Minimum Salary:$43368

Maximum Salary: $73736

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com— will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.

Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long‑term incentives (subject to plan eligibility and other requirements).

For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life byprovidinga broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological,neurologicaland urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn .

Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specificprohibited substancetest requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.

Nearest Major Market: Minneapolis
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