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Entry Level Data Science Jobs in Maple Grove, MN

Three Point Solutions, Inc.

Lab Technician

Elk River, MN · On-site

$20 - $26.75/hr

... data entry skills • Ability to work independently with supervision Preferred Skills • ... Entry-level candidates encouraged to apply • Laboratory, QC, food manufacturing, or science ...

Pacelabs

Regulatory Analyst 1

Minneapolis, MN · On-site

$21 - $23/hr

... Entry Level Chemical Regulatory Analyst, where you'll put your love of science to work in the ... Assistin data gathering for other team members that are responding to regulatory reporting ...

Pace

Regulatory Analyst 1

Minneapolis, MN · On-site

$21 - $23/hr

... accurate, quality data at every critical moment and milestone. That's why we need you - your ... Entry Level Chemical Regulatory Analyst, where you'll put your love of science to work in the ...

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All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Maple Grove, MN

Entry Level Data Science information

See Maple Grove, MN salary details

$10

$19

$27

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

As of Jul 15, 2026, the average hourly pay for entry level data science in Maple Grove, MN is $19.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $21.92 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Maple Grove, MN? The most popular types of Data Science jobs in Maple Grove, MN are:
What are popular job titles related to Entry Level Data Science jobs in Maple Grove, MN? For Entry Level Data Science jobs in Maple Grove, MN, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Maple Grove, MN look for? The top searched job categories for Entry Level Data Science jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Entry Level Data Science jobs? Cities near Maple Grove, 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 Maple Grove, MN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $40,578 per year, or $19.5 per hour.

Entry Level Physical Properties Technician

Pacelabs

Maplewood, MN • On-site

$22/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Shift:

Monday through Friday, 8:00AM - 5:00PM

Are you ready to work making the world a safer, healthier place? Join our mission to continuously move science forward; to innovate and advance all aspects of our business to improve the health and safety of our communities and lives.

Make an impact. Build a career.

At Pace, everything we do is built upon an unwavering commitment to making the world a safer, healthier place. We continually work to develop innovative practices that drive sustainability and empower our partners with accurate, quality data at every critical moment and milestone.

That's why we need you - your curiosity, your talents, and your drive - to help us advance this important work, and your career.

Find your place at Pace

Join us as a Physical Properties Technician, where you'll put your love of science to work in the Scientific Insourcing Solutions division. You'll receive all the training you need to successfully take on your new role and grow an exciting laboratory sciences career at Pace.

The Scientist will prepare and test samples in the lab for adhesive products, and assist with lab maintenance.

Compensation: $22.00 per hour

What you'll do

  • Preparing test samples

  • Routine equipment maintenance

  • Testing properties of solids, paper, tape, and film products such as:

    • Tensile & shear strength

    • Bond strength

    • Mechanical properties (MTS tester)

    • Density and viscosity tests

What you'll bring

  • Bachelors degree in Chemistry, Material Science or similar laboratory science

  • Experience in a lab using precision measurement tools and electronic equipment

  • Experience with creation and maintenance of Excel spreadsheets

  • Excellent communication skills

  • Organization and task management skills

  • Observation skills and curiosity, with a willingness to speak up and contribute to the team's goal

  • Mechanically inclined with experience using common hand tools

  • Ability to occasionallylift up to 40 lbs.

Find Your Place at Pace - We need you - your curiosity, your talents, and your drive - to help us advance this important work.

Benefits
When you join Pace, you commit to work that makes a positive impact on our communities and our world. We commit to supporting you with benefits and perks that make a positive impact on your life. Full-time roles are eligible for our comprehensive benefits program which includes competitive salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the employer match), life, disability and voluntary benefits, paid time off for holiday, sick and vacation days, HSA, wellness program, flexible spending accounts, tuition reimbursement, Employee Assistance program, parental leave, optional legal coverage and ID theft.

Equal Opportunity Employer

Pace provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, creed, color, religion, genetics, protected veteran status, national origin, sex, age, disability, marital status, sexual orientation, gender identity or expression, citizenship, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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