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Data Science Jobs in Buffalo, MN (NOW HIRING)

Daikinapplied

Data Engineer III

Minneapolis, MN

$90K - $153K/yr

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * 5+ years (or 3+ years with a masters) of professional experience in analytics ...

Boston Scientific

Data Product Manager

Maple Grove, MN · On-site

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

Data Product Manager

Maple Grove, MN · Hybrid

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

Data Product Manager

Maple Grove, MN · Hybrid

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 ...

UnitedHealth Group

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 ...

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will ... Science, or related disciplines * Strong understanding of Medicaid/DSNP products or the healthcare ...

UnitedHealth Group

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

UnitedHealth Group

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

The position operates as part of a collaborative data engineering team, working closely with fellow data engineers and data science & reporting partners to meet evolving data requirements. The scope ...

UnitedHealth Group

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 ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Buffalo, MN

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 Aug 17, 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.
More about Data Science jobs

What are popular job titles related to Data Science jobs in Buffalo, MN?

For Data Science jobs in Buffalo, MN, the most frequently searched job titles are:

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Buffalo, MN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,218 per year, or $62.1 per hour.

Sr Applied Data Scientist - Personalization (applied ML, PyTorch, ML Ops)

Target Brands, Inc.

Brooklyn Park, MN • On-site

$98K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,989 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A SR DATA SCIENTIST - RECOMMENDATIONS (RecSys)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization/RecSys rely on.
As a Sr Data Scientist, you'll work on the Target Data Science Recommendations team collaborating with data scientists, machine learning engineers and product managers to build and augment our AI-driven digital Recommendation products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you'll perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment, and analyze performance and trade-offs. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. On the business side, you'll document and present work to technical and non-technical peers, build knowledge on business priorities and strategic goals and leverage this knowledge while building requirements and solutions for each business need.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience
  • 3 plus years of experience developing machine learning models using deep learning frameworks such as PyTorch or JAX
  • Experience building recommendation, personalization, search, ranking or retrieval systems at scale
  • Strong programming skills in Python and SQL
  • Demonstrated experience with optimization, statistics, probability and experimental design
  • Experience evaluating models through offline analysis on large-scale datasets and online experimentation, including statistical analysis and interpretation of results
  • Knowledge of large-scale data processing and analytics platforms such as Spark
  • Extensive experience leveraging generative AI tools to accelerate development, experimentation and model delivery
  • Ability to communicate complex technical concepts and results to both technical and non-technical audiences
  • Demonstrated ability to translate business problems into scalable data science solutions
  • Self-driven, results-oriented and able to meet tight deadlines
  • Motivated team player who thrives in a collaborative - global environment

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 08/27/2026

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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