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Entry Level Data Science Jobs in Northfield, MN (NOW HIRING)

skywater

OPC / DFM Engineer

Minneapolis, MN · On-site

Bachelor of Science or in Mechanical, Electrical or Chemical Engineering, Materials Science, Physics or other relevant Engineering discipline. * 1+ year in CDSEM recipe creation and data collection ...

Balchem

Night Shift Maintenance Tech

Faribault, MN

$32/hr

... science-based solutions for the health and nutritional needs of the world. Balchem employs ... Human Nutrition and Health, Animal Nutrition and Health, and Specialty Products. Entry Level Pay:

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Entry Level Data Science information

See Northfield, MN salary details

$11

$20

$28

How much do entry level data science jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for entry level data science in Northfield, MN is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.50 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What cities near Northfield, MN are hiring for Entry Level Data Science jobs? Cities near Northfield, MN with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Northfield, MN as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,656 per year, or $20 per hour.

OPC / DFM Engineer

skywater

Minneapolis, MN • On-site

Other

Posted 12 days ago

Job description

SkyWater is hiring an OPC / DFM Engineer for our HQ site in Bloomington, MN.

This position will focus on Optical Proximity Correction (OPC) techniques and Design for Manufacturability (DFM) in a cross-functional setting in a customer-centered environment. The successful candidate will collaborate with a variety of teams around the business and will be responsible for CDSEM metrology procedures, data collection requirements and maintaining data analysis scripts to support development of OPC models. The position will also collaborate with tapeout engineers to create/update mask tapeout flows, maintain training documents and able to develop future skills to create OPC models.

Key Responsibilities:

  • Define and maintain CDSEM metrology procedures.
  • Define and maintain data collection procedures to meet customer requirements.
  • Train process technicians on CDSEM metrology collection techniques and establish BKMs.
  • Create and maintain data analysis scripts to handle large data sets from multiple sources that enable OPC model calibrations and correction recipe development.

Required Qualifications:

  • Bachelor of Science or in Mechanical, Electrical or Chemical Engineering, Materials Science, Physics or other relevant Engineering discipline.
  • 1+ year in CDSEM recipe creation and data collection supporting OPC modeling development work
  • Familiarity with Python or similar scripting language for handling large data sets composed of disparate data streams.
  • Excellent technical writing and verbal communication skills.
  • Positive interpersonal skills, highly energetic and self-motivated.
  • Experience with application of structured problem-solving methodology
  • US Citizenship Required: This position will require the holding of or ability to obtain government security clearance which requires U.S Citizenship.

Preferred Qualifications:

  • Experience using machine learning tools to sanitize large data sets, create code or utilities, and improve engineering workflows.
  • Support customer requests through test structure creation and reticle builds.
  • Work closely with design, layout, and process engineers to understand and incorporate technology requirements into the OPC models and PDKs.

Apply