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Data Science Jobs in Rice, MN (NOW HIRING)

Reli Group Inc

Power BI Intern

Saint Cloud, MN

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

Caravel Autism Health

BCBA

Saint Cloud, MN · On-site

$73K - $89K/yr

... scientific rigor in one hand and steady, sensitive care in the other and never let go! We call them ... Let data guide your decisions, and keep each child squarely at the center What we're looking for

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Data Science information

See Rice, MN salary details

$37.1K

$121.4K

$194.4K

How much do data science jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data science in Rice, MN is $121,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 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.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What cities near Rice, MN are hiring for Data Science jobs? Cities near Rice, MN with the most Data Science job openings:
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Product Manager Internships

Product Manager Internships

Danaher

Saint Cloud, MN

Other

Posted 19 days ago

Danaher rating

7.5

Company rating: 7.5 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

How It Works

This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, specific openings have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available.

About Product Management Roles at Danaher

Are you excited by the challenge of shaping innovative products that accelerate the future of medicine? As a Product Management Intern at Danaher, you’ll join a collaborative team working across R&D, marketing, and sales to bring cutting-edge life sciences solutions from ideation to market. This role would offer hands-on experience in product strategy, market research, and cross-functional collaboration that directly impacts our product portfolio’s success.

What You Might Work On

  • Assisting in the development and execution of product strategies and roadmaps

  • Conducting market research and competitive analysis to guide product decisions

  • Creating product documentation such as user stories, wireframes, and product briefs

  • Collaborating with cross-functional teams to define detailed product requirements

  • Monitoring product performance and gathering user feedback for continuous improvement

  • Supporting product launch activities including marketing and sales enablement

Who This Is For

  • Students currently pursuing an MBA or related graduate degree

  • Strong analytical and problem-solving skills with the ability to interpret complex data

  • Experience driving relevant projects and working collaboratively across teams

Bonus:
  • Experience creating business cases and contributing to product management projects
Company Description

At Aldevron, part of the Danaher family, we’re shaping the future of medicine by advancing science in meaningful ways. Our global team is dedicated to combining best-in-class products and service with an ideal environment to enable vital new discoveries worldwide. We value diverse backgrounds and experiences and invest in your growth through hands-on learning and leadership engagement. Join us to accelerate the discovery, development, and delivery of life-changing solutions.

What Danaher employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Danaher logo

About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984

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