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Data Science Jobs in Buffalo, MN (NOW HIRING)

Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the ... The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data ...

Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the ... The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

... Science, or related disciplines * Strong understanding of Medicaid/DSNP products or the healthcare ... data platforms (e.g., Snowflake, Databricks) *All Telecommuters will be required to adhere to ...

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

... Science, or related disciplines * Strong understanding of Medicaid/DSNP products or the healthcare ... data platforms (e.g., Snowflake, Databricks) *All Telecommuters will be required to adhere to ...

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

The Senior Data Scientist will support the development of analytics and insights that drive Star ... Computer Science or related field * Experience with Medicare Advantage / Star Ratings analytics

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

The Senior Data Scientist will support the development of analytics and insights that drive Star Ratings performance. This role focuses on hands-on analysis, modeling, and stakeholder support ...

Showing results 41-60

Data Science information

See Buffalo, MN salary details

$39.5K

$129.2K

$206.9K

How much do data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science in Buffalo, MN is $129,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $143,200.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What job categories do people searching Data Science jobs in Buffalo, MN look for?

The top searched job categories for Data Science jobs in Buffalo, MN are:

What cities near Buffalo, MN are hiring for Data Science jobs?

Cities near Buffalo, MN with the most Data Science job openings:

Infographic showing various Data Science job openings in Buffalo, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,218 per year, or $62.1 per hour.

Data Product Manager

Boston Scientific

Maple Grove, MN • Hybrid

Full-time

Re-posted yesterday


Boston Scientific rating

8.5

Company rating: 8.5 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

33rd of 546 rated manufacturers


Job description

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

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:

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.

We are seeking an experienced Data Product Manager to join our Cardiology Marketing & Digital Enablement (CMDE) team. The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data products, including the Marketing Data Platform (MDP), Customer 360, and Conversational Agentic AI capabilities. This role serves as the bridge between business stakeholders, analytics teams, data engineering, and technology partners to deliver scalable, high-impact data solutions that enable customer-centric engagement, advanced measurement, and AI-powered decision-making.

The successful candidate will drive product strategy from concept to adoption, establishing clear business value, prioritizing investments, and ensuring data products meet the evolving needs of marketing, sales, and commercial leadership. They will champion a product-centric mindset, translating business challenges into data-driven solutions that unlock actionable insights, improve customer experiences, and accelerate growth across the organization.

 

Work Mode:

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our Maple Grove or Arden Hills, Minnesota 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:

  • Define and execute the product strategy and roadmap for Modern Data Platform (MDP), Customer 360, and Conversational Analytics solutions for specific franchises within our Cardiology business.
  • Oversee data engineer delivery capacity, sequencing, dependencies, and sprint priorities across the data product portfolio.
  • Collaborate with data engineers, architects, and data scientists to design scalable conceptual, logical, and physical data models that support dashboards, reporting, machine learning, and AI-enabled applications.
  • Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across Cardiology.
  • Guide the modernization of existing data assets into cloud-native architectures using modern data stack technologies, including Snowflake, dbt, Adobe Experience Platform, Salesforce Data Cloud, and related platforms.
  • Partner with business and technical stakeholders to identify opportunities, prioritize capabilities, and deliver measurable business outcomes.
  • Establish product governance, success metrics, and adoption strategies to maximize value realization.
  • Drive the development of customer intelligence capabilities that provide a unified view of customer interactions, preferences, and engagement.
  • Lead the evolution of AI and conversational analytics solutions that transform data into accessible, actionable insights for commercial teams.
  • Enable a unified customer view and scalable data foundation that supports measurement, personalization, AI, and advanced analytics.

Required qualifications:

  • Bachelor's degree in Data science, Statistics, Economics, Computer Science, Engineering, or a related field.
  • 7+ years' of experience in Data Product Management, Data Architecture, Data Engineering, Analytics Engineering, or related technical product leadership roles.
  • Demonstrated experience delivering enterprise data products on modern cloud-based data platforms.
  • Strong expertise designing enterprise data models, including dimensional modeling, semantic modeling, and scalable analytical data structures supporting both Business Intelligence and AI applications.
  • Experience with modern data stack technologies, including Snowflake, dbt, Apache Airflow, SQL, and cloud-based ETL/ELT frameworks.
  • Advanced SQL skills with experience optimizing large-scale analytical datasets.
  • Experience working with AWS cloud services and modern cloud data architectures.
  • Experience implementing enterprise Data Governance practices, including metadata management, data lineage, business glossaries, master data management, and data quality frameworks.
  • Strong understanding of enterprise Business Intelligence platforms such as Tableau, PowerBI, Adobe Customer Journey Analytics.
  • Fortune 500 working experience, especially regulated industries or with sensitive data (e.g., financial, healthcare)

Preferred qualifications:

  • Strong experience with Customer Data Platforms such as Adobe RT-CDP, AEP, Salesforce Data Cloud, Braze
  • Strong experience with personalization and journey orchestration capabilities such as Adobe Journey Optimizer, Pega Customer Decision Hub, Salesforce Journey Builder, Adobe Target, Salesforce Personalization.
  • Experience supporting machine learning workflows, including feature engineering, model lifecycle management, or MLOps practices.
  • Knowledge of modern AI data architectures, including vector databases, Retrieval Augmented Generation (RAG), embeddings, and semantic search.

Requisition ID: 632960

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 atwww.bostonscientific.comand follow us onLinkedIn.

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.


What Boston Scientific employees say

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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

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