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Data Science Project Manager Jobs in Wisconsin (NOW HIRING)

... management of forgings, automated characterization methods, and design and improvement of ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

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 ...

... management of forgings, automated characterization methods, and design and improvement of ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

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 ...

... management of forgings, automated characterization methods, and design and improvement of ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

WI · On-site

$90 - $120/hr

We work on projects that enable AI practitioners build AI products quickly and confidently. We work ... Applies modern and emerging data science techniques to solve business problems across functions ...

WI · On-site

$115.40 - $192.30/hr

... project management and technologists to execute projects.**Required Qualifications:**Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work ...

WI · On-site

$130 - $160/hr

Lead and manage projects, ensuring timely delivery of solutions aligned with business objectives. * Provide technical guidance and mentorship to junior data scientists and engineers. * Work directly ...

Lead AI and Data Science Engineer II

Milwaukee, WI · On-site

$101K - $133K/yr

Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

... management of forgings, automated characterization methods, and design and improvement of ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

Posted today

... management of forgings, automated characterization methods, and design and improvement of ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

Posted today

... management of forgings, automated characterization methods, and design and improvement of ... Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business ...

Posted today

Showing results 21-40

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 Aug 12, 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 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 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 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:
Infographic showing various Data Science Project Manager job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $120,736 per year, or $58 per hour.

Data Scientist

ATI

Cudahy, WI • On-site

Full-time

Re-posted 11 days ago


Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.
ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI.
As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.
A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.
Additional Responsibilities
  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • 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 visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

Basic Qualifications
  • B.S. degree in computer science, engineering with a strong statistical and programming background.
  • Experience in deep learning, predictive modeling, data mining, and time series analysis.
  • Knowledge of image segmentation, generative models, convolutional neural networks.
  • Experience in applied machine learning.

Preferred Qualifications (in addition to Basic Qualifications)
  • Experience in PyTorch, Keras/Tensorflow.
  • Experience in explainable AI.
  • Experience in SQL data query, data cleaning
    • Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required.
  • If you have worked on PINN or used ML for solving materials science problem a big plus.

We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.
*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.