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Masters Computer Science Jobs in Minnesota (NOW HIRING)

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Systems Engineer III

Minneapolis, MN · Hybrid

Bachelors (5+ years experience) or Masters (3+ years experience) in Electrical Engineering, Computer Engineering, Computer Science or related fields * Understanding and experience in the design ...

DivIHN Integration Inc

Technical Scrum Master

Saint Paul, MN · On-site

$52 - $69.50/hr

Coordinate with other Scrum Masters and Agile teams to ensure alignment and technology reuse ... Bachelor's Degree in Computer Science or in "STEM" Majors (Science, Technology, Engineering and ...

DivIHN Integration Inc

Technical Scrum Master

Saint Paul, MN · On-site

$52 - $69.50/hr

Coordinate with other Scrum Masters and Agile teams to ensure alignment and technology reuse ... Bachelor's Degree in Computer Science or in "STEM" Majors (Science, Technology, Engineering and ...

NLB Services

Sr. Full Stack Developer

Minneapolis, MN · On-site

... Masters degree in Computer Science, Information Systems with 2+ years of technical experience. Hands on experience of creating test reports from automation test run using tools such as cucumber ...

NLB Services

Sr. Full Stack Developer

Minneapolis, MN · On-site

... Masters degree in Computer Science, Information Systems with 2+ years of technical experience. Hands on experience of creating test reports from automation test run using tools such as cucumber ...

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Masters Computer Science information

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$18.5K

$66.5K

$141.4K

How much do masters computer science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for masters computer science in Minnesota is $66,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,322.00 and $91,332.00 per year, depending on experience, location, and employer.

What is a masters computer science job?

A Masters Computer Science job typically requires an advanced degree in computer science or a related field, focusing on specialized areas such as artificial intelligence, data science, cybersecurity, or software development. Professionals in these roles apply their expertise in programming, algorithms, and system design to solve complex problems in industries like technology, healthcare, finance, and research. Common job titles include Software Engineer, Data Scientist, Machine Learning Engineer, and Cybersecurity Analyst. These roles often involve designing and optimizing software, analyzing large datasets, improving security measures, or developing innovative computing solutions. A master's degree can provide deeper knowledge, better job prospects, and higher salaries in the computer science field.

What types of projects or responsibilities can I expect when starting a position with a master's degree in computer science?

As a new hire holding a Master's degree in Computer Science, you can expect to work on a variety of challenging projects, such as developing software applications, optimizing algorithms, conducting data analysis, or contributing to research-driven innovation, depending on the specific employer and industry. Your responsibilities might include writing and testing code, collaborating with cross-functional teams, and presenting technical solutions. You may also be involved in system architecture design, troubleshooting technical issues, or implementing new technologies. This role often encourages continuous learning, and you'll have opportunities to expand your expertise while working alongside experienced engineers and project managers.

What are the key skills and qualifications needed to thrive in the masters computer science position, and why are they important?

To succeed with a Master's degree in Computer Science, candidates typically need strong analytical abilities, programming skills in languages such as Python, Java, or C++, and a solid understanding of data structures, algorithms, and software engineering principles. Familiarity with development tools, version control systems like Git, and possibly certifications in areas such as cloud computing or machine learning are commonly valued. Excellent problem-solving, teamwork, and effective communication skills help individuals stand out in both collaborative and independent projects. These competencies enable professionals to develop advanced technological solutions and adapt to rapidly changing industry demands.

What are the most commonly searched types of Masters Computer Science jobs in Minnesota?

The most popular types of Masters Computer Science jobs in Minnesota are:

What are popular job titles related to Masters Computer Science jobs in Minnesota?

For Masters Computer Science jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Masters Computer Science jobs in Minnesota look for?

The top searched job categories for Masters Computer Science jobs in Minnesota are:

What cities in Minnesota are hiring for Masters Computer Science jobs?

Cities in Minnesota with the most Masters Computer Science job openings:

Masters Computer Science jobs near you
Infographic showing various Masters Computer Science job openings in Minnesota as of August 2026, with employment types broken down into 60% Full Time, 36% Part Time, and 4% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $66,466 per year, or $32 per hour.

Principal Data & Analytics Strategist

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 706 frontline employees who took The Breakroom Quiz

136th of 898 rated healthcare providers

Job description


The Principal Data Analytics & AI Strategist is a principal-level individual contributor who serves as a technical authority and enterprise-level thought leader for data, analytics, and AI solution direction across products, platforms, and strategic problem areas. This role shapes how enterprise data, analytics and AI strategy is translated into scalable solution patterns, architectural guardrails, and delivery models that can be consistently executed across teams.
The role connects system-level technical decisions to broader enterprise data and analytics strategy, governance, and investment intent-ensuring initiatives are interoperable, governable, and positioned to deliver sustained, measurable value at scale. The Principal Data Analytics & AI Strategist operates across high ambiguity, making and documenting complex tradeoffs related to platform capabilities, data architecture, analytics and AI patterns, operating constraints, and sequencing of delivery.
Working across domains and portfolios, the Principal Data Analytics & AI Strategist influences the full solution lifecycle-from opportunity framing and options analysis through solution design guidance and delivery oversight. The role defines and socializes reference architectures, preferred patterns, and decision frameworks, supports high-risk or high-impact initiatives, and accelerates progress through hands-on exploration and prototyping where early technical validation is critical.
The Principal Data Analytics & AI Strategist partners closely with senior leaders and practitioners across data engineering, analytics/BI, AI/ML, platform, security, and governance functions to align on technical direction, surface risks and dependencies early, and enable timely, enterprise-wide decision-making-exerting influence without direct authority to drive clarity, consistency, and execution momentum.
Qualifications
  • Bachelor's degree in computer science, information systems, engineering, mathematics, statistics, data science, or related field from an accredited University or College is required.
  • Master's degree or PhD in a related field (e.g., computer science, data science, business analytics, healthcare informatics, or MBA) is preferred.
  • Extensive (15-20+ years) experience in enterprise data, analytics, and/or AI strategy, architecture, consulting, product/program delivery, or related discipline.
  • Demonstrated experience defining enterprise-level strategy and translating it into executable roadmaps, capability models, and delivery guardrails across multiple portfolios.
  • Proven ability to communicate complex technical implementation concepts to executive leadership, including architecture tradeoffs, investment options, risk, and sequencing; produces clear, decision-ready materials.
  • Strong working knowledge of modern data and analytics concepts (data products, data platforms, pipelines, BI/visualization, governance, metadata, quality, privacy/security fundamentals, and observability).
  • Experience influencing across senior stakeholders and cross-functional teams (engineering, analytics, AI/ML, security, privacy, architecture, governance) to drive alignment and decisions in ambiguous environments.
  • Experience operating in regulated environments (e.g., healthcare, research, financial services), with familiarity with privacy, compliance, governance, and responsible AI expectations.
  • Demonstrated facilitation skills for executive and technical audiences (workshops, strategic reviews, governance forums) and strong written communication skills.
  • Certification in one or more major cloud platforms (Google, Azure, etc)
  • Experience establishing or evolving enterprise data operating models (e.g., data product operating model, platform governance, domain engagement, stewardship models) and measuring adoption/maturity over time.
  • Experience developing and/or governing enterprise AI strategy, including responsible AI controls, model risk management, and GenAI/agentic patterns (grounding, evaluation, monitoring).
  • Experience with cloud data platforms and modern architecture patterns (lakehouse/warehouse, streaming/eventing, semantic layers/metrics, MDM/reference data), including cost/value tradeoffs.
  • Demonstrated experience building reusable playbooks, reference architectures, templates, and standards that scale delivery across multiple teams.

The ideal candidate will have prior experience in working through large scale AI transformations for organizations including creation of vector stores, Knowledge graphs, MCP servers and getting an organization data teams AI ready.
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.

What Mayo Clinic employees say

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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

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