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Data Science Major Jobs in Hopkins, MN (NOW HIRING)

US Department of Commerce

Meteorologist

Chanhassen, MN · On-site

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Collabera

Data Analysis

Eagan, MN · On-site

Major Responsibilities / Accountabilities: Datagathering and analysis as part of assigned tasks and ... or data science related field of study preferred. Additional Information To know more on this ...

Coloplast

Data & Analytics, Manager

Minneapolis, MN · On-site

$102.20 - $153.30/hr

Major Areas of Accountability Team Leadership, Development & Stakeholder Management * Manage a team ... Bachelor's degree in Computer Science, Information Technology, Statistics, Data Science, or related ...

Coloplast

Data & Analytics, Manager

Minneapolis, MN · On-site

Major Areas of Accountability Team Leadership, Development & Stakeholder Management * Manage a team ... Bachelor's degree in Computer Science, Information Technology, Statistics, Data Science, or related ...

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All JobsData Science Major JobsData Science Major Jobs in Hopkins, MN

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.
Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Hopkins, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Supervisory Data Scientist

Career Opportunities | USCIS

Bloomington, MN • On-site

$107K/yr

Full-time, Part-time

Posted 2 days ago

New

Job description

Protect your homeland and defend your culture. Join USCIS, America's frontline defense against illegal foreign infiltration and fraud.
As a Supervisory Data Scientist, you will oversee and support USCIS HRIT initiatives by managing advanced data science projects, coordinating business systems, ensuring high-quality reporting and analytics, and providing strategic and operational support to HRIT Leadership.Qualifications:The qualifications for this position must be met by 11:59 PM (Eastern Time) on 09/08/2026.
Time in Grade does not apply to Delegated Examining Announcements, any reference to Time in Grade in the questionnaire will not apply to the rating and ranking of applicants.
Basic Requirements: All applicants must meet the following basic requirements: (Must be supported in Transcripts from an accredited institution, Resume and/or Applicable Certificate)
  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR
  • Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
GS-14: You qualify at the GS-14 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-13 level in the federal government, that equipped you with the skills needed to successfully perform the duties of the position. You must have experience performing the majority of the following duties:
  • Applying data science, computer science, mathematics, and statistical methods to conduct complex analysis, support algorithm development, validate data sources, and develop business or technical recommendations.
  • Utilizing statistical tools, data platforms such as SAS, R, Python, SQL, Databricks, and similar technologies to query, transform, analyze, and report data from multiple sources.
  • Developing, evaluating, and improving data collection, and processing methodologies to support data integrity, analytical accuracy, and operational decision-making.
  • Managing data analytics, data architecture, dashboard, reporting, automation, or business process improvement initiatives that support organizational priorities, policy development, or strategic objectives.
  • Leading, supervising, or guiding staff or project teams performing data analysis, visualization, engineering, reporting, predictive modeling, or related data technology functions.
Please read the following important information to ensure you submit everything we need to consider your application: It is your responsibility to ensure that you submit your responses and appropriate documentation prior to 09/08/2026. You must upload your resume under the "Resume" category. Resumes submitted under the "Other Documents" category will not be considered. Your most recently submitted resume will be used to determine your qualifications for the position advertised in this announcement. Therefore, your resume must highlight your most relevant, significant experience related to the requirements found in the qualification section of this announcement, as well as any applicable education. Limit your resume to no more than two pages. The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. To help ensure your resume remains clear and easy to read, we recommend using margins of at least 0.8 inches and a font size of at least 11 point. Be clear and specific when describing your work history since human resources cannot make assumptions regarding your experience. Your application will be rated and ranked based on your responses to the online questions.

Please ensure EACH work history includes ALL of the following information:
  • Job Title (include series and grade if Federal Job)
  • Duties (be specific in describing your duties)
  • Employer's name and address
  • Supervisor name and phone number
  • Start and end dates including month, day and year (e.g. June 18 2007 to April 05 2008)
  • Start and end dates for each grade/pay level if you've held a federal position.
  • Full-time or part-time status (include hours worked per week)
  • Salary
Determining length of General or Specialized Experience is dependent on the above information and failure to provide the above information may result in a finding of ineligible.
Note: Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration.
Federal Experience: If you are using current or prior federal experience as a basis for qualifying for this position, the grade levels and length of employment (mm/dd/year) at each grade level must be listed in your work history. This information will be further validated if selected for this position.
National Service Experience (i.e., volunteer experience): Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education:EDUCATIONAL SUBSTITUTION: There is no educational substitution at this grade level.
Basic Education Requirement: You must submit a copy of your college transcript(s) (unofficial is acceptable) to support the basic educational requirement or a list of coursework with hours completed. For verification purposes, the transcript submitted must include your name and educational institution.
Voluntary Separation Incentive Payment (VSIP): Per 5 CFR 576.202, An employee who receives a Voluntary Separation Incentive Payment (VSIP) and later accepts employment for compensation with the Government of the United States within 5 years of the date of the separation on which the VSIP is based, including work under a personal services contract or other direct contract, must repay the entire amount of the VSIP to the agency that paid it (proof of payment is required) before the individual's first day of reemployment.Employment Type: OTHER

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