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Computer Science Education Jobs in Osceola, WI (NOW HIRING)

Combination of relevant experience, education, and training may be accepted in lieu of degree. * Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data ...

Combination of relevant experience, education, and training may be accepted in lieu of degree. * Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data ...

Create and modify CAD models for the needs of delivery partners and customers. Ensure expected ... Associate of Science Degree with a minimum of 1- 3 years' experience in drafting or related area of ...

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Computer Science Education information

See Osceola, WI salary details

$58K

$85.3K

$100.6K

How much do computer science education jobs pay per year?

As of Aug 25, 2026, the average yearly pay for computer science education in Osceola, WI is $85,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $96,000.00 per year, depending on experience, location, and employer.

What is computer science education?

Computer science education refers to the teaching and learning of the principles, concepts, and applications of computer science. It includes topics such as programming, algorithms, data structures, computer systems, and computational thinking. Computer science education can take place at various levels, from elementary school to higher education and professional development. Its goal is to equip students with the skills needed to understand and create technology, solve complex problems, and participate in a digital society.

What are the key skills and qualifications needed to thrive in computer science education?

To thrive in Computer Science Education, you need a solid background in computer science concepts, curriculum development, and typically a degree in computer science or education. Familiarity with programming languages, learning management systems (LMS), and educational technology tools is often required. Strong communication, patience, and the ability to inspire and engage students are critical soft skills. These skills and qualities ensure effective teaching, foster student understanding, and help bridge the gap between complex technical concepts and learners.

What are some common challenges faced by computer science educators in keeping course content current?

Computer science educators often face the challenge of rapidly evolving technology, which makes it necessary to regularly update course materials to reflect new programming languages, frameworks, and industry practices. Balancing foundational concepts with emerging trends can be difficult, especially given limited classroom time. Additionally, educators must ensure that updates remain accessible to students with varying levels of experience, while also integrating practical, real-world projects to keep students engaged.

What is the difference between Computer Science Education vs Computer Science Teacher?

AspectComputer Science EducationComputer Science Teacher
Required CredentialsTypically requires a degree in computer science or education, often with certification in teachingRequires a degree in computer science or related field, plus teaching certification
Work EnvironmentEducational institutions, online platforms, training programsSchools, colleges, educational institutions
Employer & Industry UsageEducational organizations, edtech companies, training providersPrimary schools, high schools, colleges
Common Search & ComparisonFocuses on curriculum development, programming skills, and educational methodsFocuses on classroom teaching, lesson planning, and student assessment

Computer Science Education generally refers to designing and delivering computer science curricula, often involving curriculum development and educational strategies. In contrast, a Computer Science Teacher primarily focuses on instructing students in computer science concepts within a classroom setting. Both roles require similar credentials but differ in their scope and work environment.

What can I do with computer science education?

Computer science education prepares individuals for a variety of roles such as software developer, data analyst, cybersecurity specialist, and systems analyst. It provides skills in programming, algorithms, and problem-solving, which are applicable across many technology industries and often require proficiency in programming languages and tools like Python, Java, or SQL.

What is a computer science education degree?

A computer science education degree is an academic program that prepares individuals to teach computer science concepts and programming in schools or educational settings. It typically includes coursework in programming, algorithms, and pedagogy, and may lead to certification for teaching computer science at various grade levels.

What jobs will a computer science education degree get you?

A computer science education degree can lead to roles such as software developer, systems analyst, database administrator, cybersecurity analyst, or IT support specialist. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like programming languages and operating systems.

What cities near Osceola, WI are hiring for Computer Science Education jobs?

Cities near Osceola, WI with the most Computer Science Education job openings:

Infographic showing various Computer Science Education job openings in Osceola, WI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $85,289 per year, or $41 per hour.

Manager of Data Science

Hudson, WI • On-site


CliftonLarsonAllen LLP
Accounting Services • 5 - 10K employees

7.0

Company rating: 7.0 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

21st of 23 rated bookkeepers and accountants

Respectful managers

Uninterrupted breaks


$140 - $210/hr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team. About the role: CLA is looking to hire a Manger of Data Science This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

Leadership
  • Provide day‑to‑day leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a high‑performing team culture rooted in collaboration, quality, accountability, and innovation.
Technical Oversight
  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.
Workflow Management
  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.
Cross‑Functional Collaboration
  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.
What you will need
  • 8 years of relevant experience required.
  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.
  • Education Bachelor's degree is required.
  • Combination of relevant experience, education, and training may be accepted in lieu of degree.
  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus
  • #LI-JH1

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

CLA is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, protected veteran status, national origin, or any other characteristic protected by law.

Wellness at CLA

Wellness at CLA To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.

Start your inspired career

When you join CLA, you’ll have the opportunity to design your own inspired career. Career growth is about having new experiences and lots of exposure to different roles that stretch your comfort zone, expand your skills, and shape you as a leader. It’s not so much about climbing a ladder or acquiring new titles — it’s the discovery of your strengths and the outer reaches of your true potential. At CLA, you have the freedom to explore many opportunities, including your choice of industry specialization, service capability, career path, and mobility.

About CLA

CLA exists to create opportunities for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. With nearly 9,000 people, more than 130 U.S. locations, and a global vision, we promise to know you and help you. For more information visit CLAconnect.com.

Investment advisory services are offered through CliftonLarsonAllen Wealth Advisors, LLC, an SEC-registered investment advisor.

If you require reasonable accommodation when completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact mypeoplesolutions@claconnect.com.

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CliftonLarsonAllen logo

About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012


What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

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