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Data Science Jobs in Buffalo, MN (NOW HIRING)

Daikin-Applied

Data Scientist III

Plymouth, MN · On-site

$90 - $153.30/hr

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field5+ years (or 3+ years with a masters) of professional experience in analytics ...

Daikin Applied

Data Scientist III

Plymouth, MN · On-site

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 ...

Daikin Applied

Data Scientist III

Plymouth, MN · On-site

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 ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics capabilities by delivering scalable, high-quality data products. Positioned within a centralized IT ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics capabilities by delivering scalable, high-quality data products. Positioned within a centralized IT ...

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

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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.

Data Scientist III

Daikin-Applied

Plymouth, MN • On-site

$90 - $153.30/hr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!Data Scientist III – Plymouth, MN – OnsiteDaikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products and technologies. As the primary technical lead for lab data systems, you will be influential in creating a strategic vision for and providing insights from the laboratory analytics and data.Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!Location: Onsite, Plymouth, MNYour Responsibilities:Develop data automation strategy and roadmap aligned with Digital, Quality, and Engineering teams for enhanced data insights and automationDevelop, improve, and publish existing dashboards that track key performance indicators (KPIs) for laboratory operation, identify trends, and support data-driven decision-making for laboratory and quality activitiesWrite, validate, and maintain scripts and queries to automate data collection, standardize formats, and reduce manual reporting effortCreate machine learning (ML) models and statistical models to discover trends and detect anomalies in laboratory test data Adapt existing work with changing laboratory and digital softwaresCollaborate with Test Engineering, Quality, and Digital teamsMaintain and create documentation related to scripts, models, and dashboardsShare expertise and provide training to build the competencies of data quality and analytics skills to peersYour Qualifications:Bachelor’s degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field5+ years (or 3+ years with a masters) of professional experience in analytics, data science, or a related fieldProficiency in Python and SQL for data extraction, transformation, automation, and analysis or equivalent programsProficiency in Power BI Desktop and Power BI Cloud Services or equivalent business intelligence/data visualization toolsProficient in MS Power Apps and MS OfficeExperience with databases including data collection, transformation, and storageExperience in creating machine learning (ML) models, statistical models, and anomaly detectionStrong verbal/written communication and collaboration skillsAbility to multitaskYour Preferred Qualifications:Master’s degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related fieldExperience in R&D lab, manufacturing, or operations work environmentYour Benefits:Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:Multiple medical insurance plan options + dental and vision insurance401K retirement plan with employer matchPaid time off and company paid holidaysPaid sick time in accordance with the federal, state and local lawTuition Reimbursement after 6 months of continuous serviceWork visa sponsorship is not available for this position.The typical annual base salary for this position ranges from $90,000 - $153,300 in Minnesota plus a 10% bonus. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.#LI-DF1If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied! #J-18808-Ljbffr

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