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Data Science In Healthcare Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

WI · On-site

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... PhD in Computer Science, Information Science, Statistics, or a related STEM discipline with focus ...

However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable ...

However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable ...

WI · On-site

$120 - $160/hr

Opportunities available in multiple locations! Data Science opportunities abound! If you are a software developer/Computer Scientist - you may be able to cross over to Data Science! Need a challenge ...

WI · On-site

$100 - $115/hr

... in AI, machine learning, data science, or health informatics.* Collaborate across disciplines to apply AI methodologies to analyze and model complex healthcare data, including EMRs.* Pursue external ...

WI · On-site

$120 - $180/hr

Bachelor's or Master's degree in Data Science, Statistics, Computer Science or related field. * 4+ years of experience in hands-on data science, including modeling, visualization, and end-to-end ...

WI · On-site

$100 - $130/hr

Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The ... Well Being, Compensation and Benefits We care about your well‑being. Along with excellent health ...

Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and ...

Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and ...

Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and ...

Showing results 41-60

Data Science In Healthcare information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do data science in healthcare jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science in healthcare in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.

Can a data scientist work in healthcare?

Yes, data scientists can work in healthcare by analyzing medical data, developing predictive models, and improving patient outcomes. They often use tools like Python, R, and SQL, and may require knowledge of healthcare regulations such as HIPAA.

What is data science in healthcare?

Data science in healthcare involves analyzing large sets of medical and patient data to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in this field use tools like machine learning, statistical analysis, and data visualization to extract insights from electronic health records, medical imaging, and other health-related data sources.

What are popular job titles related to Data Science In Healthcare jobs in Wisconsin?

For Data Science In Healthcare jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science In Healthcare jobs in Wisconsin look for?

The top searched job categories for Data Science In Healthcare jobs in Wisconsin are:

Infographic showing various Data Science In Healthcare job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $166,561 per year, or $80.1 per hour.

Manager of Data Science

Cliftonlarsonallen

Hudson, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago


Key responsibilities

  • Lead and oversee large-scale analytical and AI initiatives, including data acquisition, transformation, modeling, and automation.

  • Provide day-to-day leadership, coaching, and performance management to analysts and team members.

  • Ensure solutions are productionized effectively, monitored, and integrated into business workflows.


CliftonLarsonAllen rating

7.1

Company rating: 7.1 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

22nd of 23 rated bookkeepers and accountants


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.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday 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 highperforming 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.

CrossFunctional 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

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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.


To view a complete list of benefits, click here.



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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