1

Data Science Engineer Jobs in Minnesota (NOW HIRING)

This role also plays an important part in moving data science solutions from experimentation into production. You'll collaborate with engineering, architecture, and business teams to build reliable ...

This role also plays an important part in moving data science solutions from experimentation into production. You?ll collaborate with engineering, architecture, and business teams to build reliable ...

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field. * Strong Python/R/SAS and SQL skills. * Experience with machine learning, anomaly detection, pattern ...

Data Engineer III

Plymouth, MN · On-site

$90 - $153.30/hr

Data Scientist III - Plymouth, MN - OnsiteDaikin Applied is seeking a Data Scientist III who will ... Develop data automation strategy and roadmap aligned with Digital, Quality, and Engineering teams ...

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

... engineering practices. Responsibilities * Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and ...

Experience collaborating closely with Data Engineering, Product, and business stakeholders * Experience helping establish technical standards or best practices for Data Science teams What We'''''re ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ...

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ...

If you enjoy building innovative solutions that bridge data science and software engineering, thrive in a collaborative environment, and are eager to solve complex challenges, we would like to hear ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... and software engineering. Identifies patterns and looks for opportunities for optimization.

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Showing results 21-40

Data Science Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do data science engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science engineer in Minnesota is $127,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in Minnesota?

For Data Science Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Minnesota look for?

The top searched job categories for Data Science Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Data Science Engineer jobs?

Cities in Minnesota with the most Data Science Engineer job openings:

Infographic showing various Data Science Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.

Principal Data Scientist - Marketing Analytics

Boston Scientific

Arden Hills, MN • On-site

$102 - $194/hr

Other

Posted 24 days ago


Key responsibilities

  • Partner with marketing and business stakeholders to define analytical problems, success criteria, data requirements, and measurable business outcomes.

  • Develop machine learning and statistical models, including approaches such as regression, classification, clustering, attribution modeling, marketing mix modeling, lead scoring, causal inference, and controlled marketing experiments.

  • Support the full model lifecycle, including feature engineering, model validation, documentation, deployment support, performance monitoring, and ongoing refinement.


Boston Scientific rating

8.5

Company rating: 8.5 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

33rd of 545 rated manufacturers


Job description

Additional Location(s): US-MN-Maple Grove; US-MN-Arden Hills

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

About the role:

Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day.

Boston Scientific is seeking an experienced Principal Data Scientist – Marketing Analytics to join our Cardiology Marketing and Digital Enablement team. This role will apply advanced analytics, statistical modeling, and machine learning techniques to solve business problems, develop marketing effectiveness models, and generate actionable insights. The Data Scientist will partner closely with cross-functional stakeholders to translate business needs into scalable analytical solutions and will support models across the full lifecycle, from problem framing through deployment, monitoring, and continuous improvement.

Work model, sponsorship, relocation:

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local Arden Hills or Maple Grove office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.

Your responsibilities will include:
  • Partner with marketing and business stakeholders to define analytical problems, success criteria, data requirements, and measurable business outcomes.
  • Develop machine learning and statistical models, including approaches such as regression, classification, clustering, attribution modeling, marketing mix modeling, lead scoring, causal inference, and controlled marketing experiments.
  • Support the full model lifecycle, including feature engineering, model validation, documentation, deployment support, performance monitoring, and ongoing refinement.
  • Communicate insights, model outputs, and recommendations clearly to both technical and non-technical stakeholders.
  • Lead the vision, design, and delivery of AI-enabled products and self-service analytics platforms that improve insight accessibility, workflow efficiency, and enterprise decision-making.
  • Develop and operationalize GenAI and LLM-powered applications, including conversational analytics interfaces, automated insight generation, metadata enrichment, intelligent recommendation systems, and AI-assisted decision support tools.
Required qualifications:
  • Master’s degree in data science, Statistics, Economics, Computer Science, Engineering, or a related field.
  • 8+ years of experience in data science, clinical analytics, health care analytics or a related analytical role.
  • Advanced proficiency in Python and SQL, with experience working in cloud-based analytics and machine learning environments.
  • Experience developing statistical or machine learning models using Python and related frameworks, such as scikit-learn, statsmodels, XGBoost, PyMC-Marketing, or Google Meridian.
  • Strong analytical thinking and ability to translate business problems into data-driven analytical solutions and communicate technical concepts and findings clearly to business stakeholders.
  • Demonstrated ability to collaborate across business and technical teams.
Preferred qualifications:
  • Experience with Snowflake or similar analytics platforms.
  • Experience working with health care, medical device or other highly regulated data environments.
  • Experience working with health insurance claims data, patient diagnosis data, physician notes and prescription data.
  • Familiarity with MLOps and model lifecycle practices, including data preparation, feature engineering, validation, documentation, deployment support, monitoring and model maintenance.
  • Experience with marketing analytics methods, such as marketing mix modeling, attribution modeling, incrementality measurement, lead scoring, targeting or campaign optimization.
  • Experience working in a Fortune 500 company, particularly within regulated industries or environments involving sensitive data, such as financial services or health care.

Minimum Salary: $102100

Maximum Salary: $194000

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 by providing a 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, neurological and 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.

#J-18808-Ljbffr

What Boston Scientific employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Boston Scientific logo

About Boston Scientific

Sourced by ZipRecruiter

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen.

Industry

Medical equipment and supplies manufacturing, manufacturing and construction

Company size

10,000+ Employees

Headquarters location

Marlborough, MA, US

Social media