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Computer Science Consulting Jobs in Minnesota (NOW HIRING)

May provide Consultative Services to departments/divisions and/or support scientific projects under ... Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ...

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May provide Consultative Services to departments/divisions and/or support scientific projects under ... Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ...

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May provide Consultative Services to departments/divisions and/or support scientific projects under ... A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, health ...

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May provide Consultative Services to departments/divisions and/or support scientific projects under ... A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, health ...

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Computer Science Consulting information

See Minnesota salary details

$55.3K

$81.4K

$96K

How much do computer science consulting jobs pay per year?

As of Jul 12, 2026, the average yearly pay for computer science consulting in Minnesota is $81,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $91,600.00 per year, depending on experience, location, and employer.

Is 100 an hour good for consulting?

For a computer science consultant, earning $100 an hour is generally considered competitive, especially for those with specialized skills, certifications, or extensive experience. Rates can vary based on industry, project complexity, and geographic location, but $100 per hour aligns with mid- to high-range consulting fees in the tech field.

What is a Computer Science Consulting job?

A Computer Science Consulting job involves providing expert advice and solutions related to software development, system architecture, data analysis, cybersecurity, or other technical areas. Consultants work with businesses to identify technological challenges, recommend appropriate strategies, and often assist in implementing solutions. They may specialize in areas such as AI, cloud computing, or IT infrastructure. The role requires strong problem-solving skills, technical expertise, and effective communication to bridge the gap between technology and business needs.

Is 30 too old to get into consulting?

Computer Science Consulting is a field that values skills and experience over age, and many professionals transition into consulting at various stages of their careers. Age 30 is generally not considered too old, especially if you have relevant technical skills, certifications, and a strong understanding of client needs. Success in consulting depends more on expertise, problem-solving ability, and adaptability than on age.

Can you do consulting with a computer science degree?

Computer science degrees are highly relevant for consulting roles in technology, software development, and IT strategy. Consultants often use their programming, problem-solving, and analytical skills to advise clients on technical solutions, system implementations, and process improvements. Certifications like PMP or cloud platform credentials can enhance consulting opportunities in this field.

How much do computer science consultants make?

Computer science consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and specialization. Senior consultants or those with advanced skills in areas like cybersecurity or data science can earn higher salaries, especially with certifications and a strong portfolio.

What are the key skills and qualifications needed to thrive in the Computer Science Consulting position, and why are they important?

To thrive in Computer Science Consulting, you need a strong background in computer science fundamentals, problem-solving, and industry experience, often backed by a relevant degree. Familiarity with programming languages, cloud platforms, enterprise software solutions, and certifications like AWS Certified Solutions Architect or Certified Information Systems Security Professional (CISSP) is highly beneficial. Excellent communication, client management, and project leadership skills help consultants translate technical concepts for non-technical stakeholders and foster productive client relationships. These skills enable consultants to deliver effective, tailored solutions and add value in diverse, fast-evolving technology environments.

What types of projects do computer science consultants typically work on?

Computer science consultants are often brought in to help organizations solve complex technical challenges, such as developing custom software solutions, optimizing existing IT infrastructure, or implementing cybersecurity measures. Projects may range from advising on digital transformation and cloud migration to supporting data analysis or improving business processes with technology. Consultants typically work closely with client teams, collaborating with IT staff, managers, and end-users to understand needs and deliver practical solutions. This role offers exposure to a variety of industries and technologies, making it ideal for professionals who enjoy diverse, project-based work and ongoing learning.

What are the most commonly searched types of Computer Science Consulting jobs in Minnesota? The most popular types of Computer Science Consulting jobs in Minnesota are:
What are popular job titles related to Computer Science Consulting jobs in Minnesota? For Computer Science Consulting jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Computer Science Consulting jobs in Minnesota look for? The top searched job categories for Computer Science Consulting jobs in Minnesota are:
Infographic showing various Computer Science Consulting job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $81,398 per year, or $39.1 per hour.
Principal Data Science Analyst - Pioneering Science

Principal Data Science Analyst - Pioneering Science

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 688 frontline employees who took The Breakroom Quiz

105th of 881 rated healthcare providers


Job description


Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has deep expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has deep knowledge of healthcare data types, topics, and scientific challenges and approaches.
Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.. Designs and develops scripts or software applications to support data management, data extraction, data analysis, and AI as required. This position may develop predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining. Provides Consultative Services at an enterprise level to departments/divisions and/or may lead scientific projects.
Other responsibilities:
• Provides deep data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
• Develops predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining.
• Makes presentations on assigned projects or proposals.
• Conducts advanced data analysis and designs highly complex algorithm systems.
• Functions independently and initiates judgment in handling delegated responsibilities.
• Experience leading technical/quantitative teams.
• Develops experimental design approaches to validate findings or test hypotheses.
• Identifies/creates the appropriate algorithm to discover patterns.
• Leads and directs the interpretation of data analysis and writing reports.
Qualifications
A master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science. The preferred candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.
The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Deep expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated ability to provide consultative services at an institutional or enterprise level to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills, and a commitment to customer service. Experience with data modeling and date exploration tools.
Note: Visa sponsorship will not be available for this position. Must be a U.S. citizen, permanent resident, refugee or asylee.
Qualifications Preferred:
  • Advanced SQL and production-level Python experience.
  • Experience with cloud platforms, such as Google Cloud Platform.
  • Experience developing analytic applications, APIs, or internal tools using sound software engineering practices.
  • Experience building reproducible data pipelines with recurring runs, environment management, audit trails, and evolving data.
  • Direct experience with EHR or clinical research data, including common models, standards, and vocabularies such as Epic Clarity/Caboodle, OMOP, FHIR, ICD-10, CPT, LOINC, RxNorm, or SNOMED.
  • Knowledge of cohort identification, observational study design, survival analysis, clinical prediction modeling, and common sources of bias in real-world data.
  • Practical experience applying NLP or LLMs to clinical or research workflows, including evaluation, validation, and appropriate use of simpler alternatives when warranted.
  • Ability to partner with clinicians and researchers, translate clinical questions into analytic plans, and communicate findings clearly.

About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

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Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919