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Data Scientist Jobs in Rochester, MN (NOW HIRING)

GDIT

Data Scientist-Jr

Rochester, MN · Hybrid

$102K - $138K/yr

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Exploration, Python (Programming Language) Certifications: None Experience: 3 + years of related experience US Citizenship ...

New

Mayo Clinic

Data Science Analyst

Rochester, MN

... scientist. Other responsibilities: Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

... scientist. Other responsibilities: • Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and ...

Mayo Clinic

Data Science Analyst

Rochester, MN

... scientist. Other responsibilities: Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

... scientist. Other responsibilities: Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and ...

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All JobsData Scientist JobsData Scientist Jobs in Rochester, MN

Data Scientist information

See Rochester, MN salary details

$38.1K

$124.8K

$199.7K

How much do data scientist jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data scientist in Rochester, MN is $124,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,200.00 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

Is a data scientist job still in-demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Rochester, MN? The most popular types of Data Scientist jobs in Rochester, MN are:
What are popular job titles related to Data Scientist jobs in Rochester, MN? For Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Rochester, MN look for? The top searched job categories for Data Scientist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Data Scientist jobs? Cities near Rochester, MN with the most Data Scientist job openings:
Data Scientist jobs near you
Data Scientist-Jr

Data Scientist-Jr

GDIT

Rochester, MN • Hybrid

$102K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

74th of 210 rated it services

Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Analytics, Exploration, Python (Programming Language)

Certifications:

None

Experience:

3 + years of related experience

US Citizenship Required:

Yes

Job Description:

YOUR IMPACT

Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War's mission to keep our country safe and secure.

OUR COMPANY

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.

JOB DESCRIPTION

MEANINGFUL WORK AND PERSONAL IMPACT

The Data Scientist-Junior will support the USSOCOM Intelligence Data Science Team program directly supporting the SOCAF mission at Kelley Barracks located in Stuttgart, Germany.

JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)

  • Contribute to completion of milestones associated with specific projects.
  • Develops data-driven solutions to business challenges of moderatescope/complexity.
  • Utilize advanced tools and computational skills to interpret, connect, predict, andmake discoveries in data.
  • Evaluate the effectiveness and accuracy of new data sources and gatheringtechniques.
  • May use predictive modeling to increase and optimize customer experiences,efficiencies, process improvements, and other business outcomes.
  • May assist with identifying opportunities for leveraging company data to drive business solutions.
  • May develop processes and machine learning based tools to monitor and analyzemodel and performance and data accuracy.
  • Perform additional duties as assigned.

REQUIRED SKILLS:

  • Proficiency in Python and Bash, including API development and data manipulation.
  • Familiarity with SQL and large-scale systems such as PostgreSQL, Hive, or Trino.
  • Basic understanding of ML concepts and familiarity with Flask or FastAPI.

WHAT YOU'LL NEED TO SUCCEED

  • Clearance: Current DoW TS/SCI Clearance required.
  • Experience: 3+ years of related experience, including academic or internship-based data science work.
  • Education: Bachelor's degree in Computer Science, Statistics, Engineering, Data Science, or related field.
  • Certifications: None required; cloud or ML-related certifications preferred.
  • Role requirements: On-Site 5 days
  • Due to US Government Contract Requirements, only US Citizens are eligible for this role

IEX/GDIT IS YOUR PLACE

At IEX/GDIT, the mission is our purpose, and our people are at the center of everything we do.

  • Growth: AI-powered career tool that identifies career steps and learning opportunities
  • Support: An internal mobility team focused on helping you achieve your career goals
  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
  • Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore a career at IEX/GDIT and you'll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. #iexjobs

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

The likely salary range for this position is $102,000 - $138,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Total compensation for international positions varies by tax, social security, and immigration statuses, as well as location. Generally, an international assignment may include allowances, premium uplifts, and/or relocation or transportation benefits, above base salary range noted.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

International

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

What General Dynamics Information Technology employees say

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About General Dynamics Information Technology

Sourced by ZipRecruiter

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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