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Senior Data Science Analytics Jobs in Wisconsin (NOW HIRING)

Medical College of WI

Data Analyst Sr

Milwaukee, WI

$84K - $106K/yr

... and scientists; to discover and translate new knowledge in the biomedical sciences; to provide ... Data Analyst Sr Qualifications Data Analyst Sr Additional Information All your information will be ...

Medical College of WI

Data Analyst Sr

Milwaukee, WI · On-site

$84K - $106K/yr

... and scientists; to discover and translate new knowledge in the biomedical sciences; to provide ... Data Analyst Sr Qualifications Data Analyst Sr Additional Information All your information will be ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI

$86K - $108K/yr

Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field. Work Experience * 5+ years in data analytics, with at least 3 years in a senior or lead ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI

$96K - $148K/yr

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Reporting and Analytics * Collaborate with business users, scientists, geneticists, and bioinformaticians to understand data requirements for department-driven reporting and analytics needs.

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Senior Data Science Analytics information

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

What are the most commonly searched types of Data Science Analytics jobs in Wisconsin? The most popular types of Data Science Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Senior Data Science Analytics jobs? Cities in Wisconsin with the most Senior Data Science Analytics job openings:
Senior Data Science Analytics jobs near you
Manager of Data Science

Manager of Data Science

CliftonLarsonAllen

Hudson, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

CliftonLarsonAllen rating

7.4

Company rating: 7.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

15th of 17 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

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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.

What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

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