ZipRecruiter

Log In

1

Director Data Science Jobs in Wisconsin (NOW HIRING)

CliftonLarsonAllen

Manager of Data Science

Hudson, WI · On-site

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 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. • Experience in Statistical modeling. • Candidate will ...

Innovizant LLC

Data Scientist

Madison, WI

Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. Experience in Statistical modeling. Candidate will be helping ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise ... Data Science and Analytics teams to enable advanced modeling and experimentation * Software ...

next page

Showing results 1-20

All JobsData Science JobsDirector Data Science JobsDirector Data Science Jobs in Wisconsin

Director Data Science information

See Wisconsin salary details

$54.5K

$156.3K

$246.3K

How much do director data science jobs pay per year?

As of Jul 25, 2026, the average yearly pay for director data science in Wisconsin is $156,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $191,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What does a data science director do?

A data science director oversees the data science team, develops strategic data initiatives, and ensures the effective use of data analytics to support business goals. They often manage projects, collaborate with other departments, and have expertise in statistical methods, machine learning, and data management tools. Strong leadership and communication skills are essential for guiding teams and translating complex data insights into actionable strategies.

Can data scientists make $300k?

Data scientists, especially those in senior or specialized roles at large companies or in high-cost-of-living areas, can earn $300,000 or more annually. Achieving this level often requires extensive experience, advanced skills in machine learning and programming, and sometimes leadership responsibilities or equity compensation.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to prioritize variables, focus on impactful data, and optimize models efficiently.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What is the highest paid job in data science?

The highest paid roles in data science are typically senior positions such as Chief Data Officer or Director of Data Science, with salaries often exceeding $200,000 annually. These roles require extensive experience, advanced skills in machine learning, and leadership capabilities, often complemented by advanced degrees and certifications.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What are the most commonly searched types of Data Science jobs in Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
What are popular job titles related to Director Data Science jobs in Wisconsin? For Director Data Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Director Data Science jobs in Wisconsin look for? The top searched job categories for Director Data Science jobs in Wisconsin are:
Director Data Science jobs near you
Infographic showing various Director Data Science job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $156,322 per year, or $75.2 per hour.
Manager of Data Science

Manager of Data Science

CliftonLarsonAllen

Hudson, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

CliftonLarsonAllen rating

7.3

Company rating: 7.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

17th of 18 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 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
Click here to learn about your hiring rights.
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.

What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

View All CliftonLarsonAllen Jobs

Apply