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Data Science Jobs in Buffalo, MN (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 ...

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

Gather feedback from business users to continuously improve data science products. Desired Competencies: * Critical Thinking: You analyze information objectively, evaluate options, and apply sound ...

Data Scientist

Plymouth, MN ยท On-site

$87K - $115K/yr

Gather feedback from business users to continuously improve data science products. Desired Competencies: * Critical Thinking: You analyze information objectively, evaluate options, and apply sound ...

Data Engineer III

Plymouth, MN ยท On-site

$100 - $125/hr

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 ...

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 ...

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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 7, 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.

Sr. Director, AI & Data Science

Veracity Software Pvt. Ltd.

Wayzata, MN โ€ข On-site

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Veracity Software Pvt. Ltd. is seeking a visionary leader for the role of Sr. Director, AI & Data Science. This role is responsible for uncovering and enabling high-impact applications of artificial intelligence across the business, partnering with leaders to identify innovative opportunities and ensuring responsible AI practices are embedded in every initiative.
Responsibilities:
โ€ข Partners with business leaders to identify and accelerate AI opportunities through re-imagining how work is performed, embracing new and modern optimization techniques and changing the pace by which business value is realized.
โ€ข Translates complex AI capabilities into compelling business narratives, presenting to and influencing non-technical audiences and senior stakeholders to drive informed strategic decisions and foster confidence in AI-driven innovation.
โ€ข Provides strategic direction of product delivery to ensure scope, timeline and budget are prioritized and in compliance with related regulations and policies.
โ€ข Leads all aspects of ongoing efforts to guide and improve artificial intelligence and data science design & development practices, champions a culture of innovation and continuous improvement within the organization and partners with key team members to drive artificial intelligence literacy and adoption.
โ€ข Develops and sponsors a community of practice of global data scientists to drive reuse, awareness and alignment to further the company's adoption and value through analytics solutions.
โ€ข Presents and sells artificial intelligence solutions to non-technical audiences to influence strategic related decisions.
โ€ข Accountable for delivering measurable business outcomes from artificial intelligence investments, with responsibility for handling a significant budget and achieving defined value impact targets.
โ€ข Builds strategic partnerships and alliances with key business and industry entities to achieve organizational objectives and improve the value of investments.
โ€ข Manages team members to achieve organization goals, provides technical coaching & guidance, drives accountability for high performance and develops and sustains an environment for data scientists to thrive in an inclusive culture.
โ€ข Other duties as assigned.
Qualifications:
Required:
โ€ข Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience
โ€ข Minimum of eight years of related work experience
โ€ข Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
โ€ข Confirmed ability to present to non-technical audiences
Preferred:
โ€ข Master's degree or PhD in data science, computer science, math, engineering or related field
โ€ข Five years of experience leading teams
โ€ข Experience driving analytics adoption and mobilizing business transformation through AI adoption
โ€ข Broad expertise of business processes and functions
โ€ข Proficient in communicating to senior executives on opportunity and value, relating to the audience at hand
โ€ข Experience working with continuous integration and delivery (CI/CD) pipelines
โ€ข Experience working with distributed computing frameworks
โ€ข Experience working with AWS
โ€ข Experience in software development environment and code management or versioning
โ€ข Experience in agriculture
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.