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No Experience Entry Level Data Science Jobs in Minnesota

Data Scientist

Minneapolis, MN · On-site

$94 - $150/hr

Minimum of 2 years of experience in Data Science, Machine Learning Engineering, or a related field ... DISCLAIMER This in no way states or implies that these are the only duties to be performed by the ...

We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for ... Highly qualified and experienced trainers. Professional environment. Special interview training ...

Required : • Computer Science, Statistics, Mathematics, or related field • Experience in predictive modeling • Proficiency in SAS, R, Python, and Big Data technologies • Strong communication ...

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No Experience Entry Level Data Science information

What are common challenges faced by individuals starting in entry-level data science roles with no prior experience?

Individuals beginning in entry-level data science positions without prior experience often face challenges such as getting up to speed with real-world datasets, learning to use industry-standard tools (like Python, SQL, or Tableau), and understanding how to translate business problems into data-driven solutions. Adapting to collaborative work environments, where projects often require teamwork with analysts, engineers, and business stakeholders, can also be a learning curve. However, most organizations provide mentorship and training opportunities to help new hires develop these skills quickly and grow within the team.

What are the key skills and qualifications needed to thrive as a no experience entry level data scientist?

To thrive as a No Experience Entry Level Data Scientist, you need a solid understanding of statistics, basic programming (often Python or R), and foundational knowledge in data analysis, typically supported by a relevant degree or coursework. Familiarity with tools like Excel, Jupyter Notebook, and introductory machine learning libraries such as scikit-learn or pandas is commonly expected. Curiosity, problem-solving skills, and a willingness to learn quickly help candidates stand out in this fast-evolving field. These abilities are crucial for analyzing data effectively, drawing meaningful insights, and adapting to new technologies and challenges in data science roles.

What is a no experience entry level data science job?

No Experience Entry Level Data Science jobs are positions designed for individuals who are new to the field of data science and may not have any prior professional experience. These roles typically focus on candidates with foundational knowledge of data analysis, statistics, and basic programming skills, often gained through coursework, bootcamps, or self-study. Employers for these positions generally provide training and mentorship, allowing new hires to learn practical data science skills on the job. Such positions are a great way for beginners to gain hands-on experience and start building a career in data science.
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Infographic showing various No Experience Entry Level Data Science job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Data Scientist

Agiliti Health, Inc

Minneapolis, MN • On-site

$94 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Agiliti rating

7.4

Company rating: 7.4 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

135th of 278 rated repair and maintenance companies


Job description

POSITION SUMMARY

The Data Scientist at Agiliti Health contributes to the integration of advanced data analytics across our healthcare technology management and service solutions. This position involves developing and implementing innovative analytics projects that enhance operational efficiency, improve patient care, and support the services we provide to our healthcare clients.

PRIMARY OBJECTIVES AND RESPONSIBILITIES
  • Participate in the development and implementation of data analytics projects across various operations.
  • Utilize data science tools such as SQL, Databricks, Azure, and Python to analyze data and identify patterns.
  • Design and develop machine learning solutions to optimize workflows and processes.
  • Deploy and monitor machine learning models within the Databricks environment.
  • Collaborate with Business Analysts to determine additional data needs and communicate process improvements.
  • Assist in troubleshooting and resolving urgent and high-priority production incidents.
QUALIFICATIONS
  • Minimum of 2 years of experience in Data Science, Machine Learning Engineering, or a related field.
  • Bachelor's or Master's degree in Data Science, Statistics, or a related discipline.
  • Proficiency in SQL and Python, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Experience in developing predictive modeling capabilities within an organization.
  • Ability to extract valuable insights from datasets to guide machine learning model development.
  • Experience in refining and expanding existing machine learning pipelines.
KNOWLEDGE, SKILLS, AND ABILITIES
  • Strong analytical skills to identify patterns and insights from complex datasets.
  • Familiarity with time series forecasting techniques.
  • Excellent problem-solving abilities to troubleshoot and resolve production incidents.
  • Effective communication skills for collaboration with Business Analysts and cross-functional teams.
  • Ability to innovate and integrate advanced data analytics solutions.
  • Proficiency in deploying and monitoring machine learning models in Databricks.
  • Adaptability to work in a fast-paced environment.
DISCLAIMER

This job description in no way states or implies that these are the only duties to be performed by the employee in this position. It is not intended to give all details or a step-by-step account of the way each procedure or task is performed. The incumbent is expected to perform other duties necessary for the effective operation of the department and the company.

It is the policy of Agiliti to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, age, physical or mental disability, genetic information, marital status, status as a veteran, military service, or any other characteristic protected by applicable federal, state, or local civil rights laws.

In addition, Agiliti will provide reasonable accommodations for qualified individuals with disabilities.

Agiliti strictly prohibits any form of retaliation against individuals who make good faith reports of alleged violations of this policy or who cooperate in Agiliti’s investigation of such reports.

Affirmative Action Policy Statements

You may be required to obtain certain vaccinations, or provide proof of current vaccination status, based on customer and/or company requirements. If vaccination is required, Agiliti will provide specific directions and cover the expense at a participating clinic. Please note, this includes the COVID-19 vaccination.

Agiliti offers a robust suite of benefits for regular, full-time, non-union employees including: health insurance options for Medical, Dental & Vision plans, Short- and Long-Term Disability plans, Flexible Spending Accounts, Health Savings Accounts, Life Insurance Options, Paid Time Off, 401K Saving Plan with employer match, Employee Discounts, Tuition Reimbursement, Daily Pay program, Employee Assistance Program, and wellness programs.

Agiliti is an equal opportunity employer and provides reasonable accommodations to employees and applicants consistent with state and federal law.

Job Details

Job Title: Data Scientist

Company: Agiliti

Location City: Eden Prairie

Location State: Minnesota

Primary Job Location: Corporate MN Additional Locations (if applicable):

Pay Range for All Locations Listed: $93,810.95 - $150,140.59 This range represents the low and high ends of the Agiliti pay range for this position. This base pay range information is based on the market locations shown. For sales positions, this range combines the base salary and the target incentive pay. The actual pay offered may vary depending on several factors including geographic location, experience, job-related knowledge, skills, and related factors. Dependent on the position offered, short-term and/or long-term incentives may be provided as part of the compensation.

Agiliti helps hospitals reclaim millions of dollars in wasted spending by connecting broken medical equipment processes. Our Equipment Value Management (EVM) framework connects previously siloed departments with highly agile and fully integrated equipment workflows. Our customers also deploy the individual elements of EVM — Clinical Engineering, Onsite Equipment Management and Rental Services — to ensure patient-ready equipment is in the right place at the right time. More than 7,000 hospitals and health systems rely on Agiliti to reduce costs and free their clinicians to spend more time caring for patients. Our nationwide network ensures quick response to customer needs throughout the U.S. We believe every interaction has the power to change a life. Join Agiliti and help make a difference for health care providers and patients nationwide. For more information, please visit https://www.agilitihealth.com/careers/ The following link provides important notices regarding employment at Agiliti http://www.elaborposters.com/browse/agiliti.

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