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Data Science Project Manager Jobs in Wisconsin (NOW HIRING)

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

... workload management * Proficiency in Python, with a strong emphasis on data manipulation and ... Demonstration of previous data science projects is preferred * Strong interpersonal skills and ...

Varsity Tutors

Data Science Tutor

Milwaukee, WI · Remote

$40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Generac

Data Science Analyst

Waukesha, WI · On-site

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... Requires excellent analytical, organization, project management, communication, presentation and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement. * Develop and apply advanced statistical, machine learning, and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement. * Develop and apply advanced statistical, machine learning, and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement. * Develop and apply advanced statistical, machine learning, and ...

3M HEALTHCARE

WI · On-site

Leads and manages a team of data scientists and analysts, providing direction, support, and ... Understands business needs and translates them into actionable data science projects.

Capgemini

WI · On-site

For a Data Science Project using new technologies, we're looking for an experienced Data Engineer. The initial project is expected to last for 2 years.- Local presence in Antwerpen required for about ...

Sun Life Financial

Director, Data Science

Milwaukee, WI · On-site

Manage and develop a team of data scientists, balancing team development, delivery priorities, and ... long-term capability building. * Monitor solution performance, user feedback, data quality, model ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Wisconsin

Data Science Project Manager information

See Wisconsin salary details

$16

$58

$81

How much do data science project manager jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data science project manager in Wisconsin is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $67.93 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are popular job titles related to Data Science Project Manager jobs in Wisconsin?

For Data Science Project Manager jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Project Manager jobs in Wisconsin look for?

The top searched job categories for Data Science Project Manager jobs in Wisconsin are:

Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Wisconsin as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $120,736 per year, or $58 per hour.

Manager, Data Science - Personalization & Recommendation Systems

Menomonee Falls, WI • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 5 days ago

Job description

  • Manage, coach, develop, retain, and assess data scientists
  • Partner with product, engineering, and design leads to use data-driven insights for decisions, goals, prioritization, and team objectives
  • Lead end-to-end data science projects from problem formulation through model deployment
  • Oversee experiments addressing targeted business questions
  • Drive continuous improvement of key business metrics
  • Translate data science outputs into business outcomes and delivered value
  • Build strong business partner relationships and promote adoption of data science capabilities
  • Monitor data science and technology trends and identify high-return investment opportunities
  • Design and support deployment of machine learning models for personalized digital experiences
  • Build and optimize recommendation and ranking systems balancing relevance, discovery, conversion, and revenue
  • Develop multi-stage ranking systems with candidate generation and re-ranking
  • Address cold-start and long-tail challenges in large product catalogs
  • Partner with engineering on real-time personalization and scalable deployment
  • Perform additional assigned tasks
Requirements
  • Experience with personalization & recommendation systems, search, or ranking problems at scale of millions of customers and products
  • Experience developing sequential, transformer models and utilizing LLM models in production
  • Understanding of collaborative filtering and learning-to-rank methods
  • Experience optimizing models for GPU / distributed training
  • Familiarity with large-scale datasets and production ML systems
  • Exposure to real-time or low-latency serving environments
  • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred
  • Experience delivering end-to-end customized ML models in production environments
  • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical, and optimization methods
  • Expert in modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP
  • Strong problem-solving skills with an emphasis on product development
  • Experience proposing rapid experiments and iterating based on results
  • Proven success guiding teams through unstructured technical problems
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field
  • 5+ years of progressively complex data science experience, or 2+ years with a Master’s degree
  • 2+ years of managerial or leadership experience in data science or analytics organizations
  • Retail experience preferred
  • Marketing models preferred
Core Competencies

Demonstrates expertise in managing and developing data science teams while delivering end-to-end machine learning solutions. Proficient in leveraging data-driven insights to drive business outcomes and optimize recommendation systems at scale.

Highest-signal resume keywords
  • Machine Learning Model Development
  • Personalization & Recommendation Systems
  • Data Science Team Leadership
  • End-to-End Project Management
  • Statistical & Optimization Methods
Hard Skills
  • Python
  • R
  • Spark
  • SQL
  • GCP
  • Collaborative Filtering
  • Learning-to-Rank Methods
  • GPU Optimization
  • Vector Search
  • ANN Methods
Soft Skills
  • Problem-Solving
  • Coaching
  • Collaboration
  • Communication
  • Team Development
Industry Keywords
  • Data Science
  • Retail Experience
  • Marketing Models
  • Statistical Analysis
  • Quantitative Field
Tools & Technologies
  • Machine Learning Frameworks
  • Analytics Tools
  • Real-Time Serving Environments
  • Large-Scale Datasets
  • Production ML Systems
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