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Director Of Data Science Machine Learning Jobs in Milwaukee, WI

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments * 3+ years of experience as a Machine Learning Engineer with a proven ...

Varsity Tutors

Machine Learning Tutor

Milwaukee, WI · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ...

Pwc

AI & GenAI Data Scientist - Manager

Milwaukee, WI

$99K - $232K/yr

... in the development of scalable machine learning models and solutions - Managing complex data ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

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 ... the use of open-source tools, cloud computing, machine learning and data visualization and ...

Charter Manufacturing Company, Inc.

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

Join the team and become part of our family! Applicants must be authorized to work for ANY employer ... science, and machine learning initiatives. * Help define the future-state architecture that ...

Charter Automotive

Data Architect

Mequon, WI · On-site

$55.75 - $71.75/hr

Join the team and become part of our family!Applicants must be authorized to work for ANY employer ... reporting, data science, and machine learning initiatives.* Help define the future-state ...

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Director Of Data Science Machine Learning information

See Milwaukee, WI salary details

$36.9K

$120.9K

$193.6K

How much do director of data science machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for director of data science machine learning in Milwaukee, WI is $120,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $134,000.00 per year, depending on experience, location, and employer.

Senior MLOps Engineer (Remote)

Menomonee Falls, WI • On-site

KOHLS
Retail • 10K+ employees
Learn more about KOHLSexternal

$104K - $144K/yr

Other

Re-posted 14 days ago

Key responsibilities

  • Collaborate with Data Scientists and Engineers to build, deploy, and operate machine learning solutions and pipelines.

  • Design, build, and maintain scalable machine learning infrastructure, including model serving, training environments, and orchestration systems.

  • Support development and maintenance of monitoring, alerting, and automated testing frameworks to ensure system reliability and performance.

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,482 frontline employees who took The Breakroom Quiz

Job description

About the Role

As Senior MLOps Engineer, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.

What You’ll Do

  • Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling

  • Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency

  • Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation

  • Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle

  • Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development

  • Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure

  • Develop, document, and communicate implementations and best practices across the data science lifecycle

  • Manage and communicate cloud infrastructure costs and budgets to project stakeholders

  • Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

  • Additional tasks may be assigned

What Skills You Have

Required

  • Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments

  • 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery

  • In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.

  • Extensive expertise with CI/CD and 

  • IaC best practices

  • Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL

  • Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)

  • Experience working in Agile environments with an emphasis on iterative development and continuous delivery

Preferred

  • Master’s Degree 

  • Proficiency in Java or other languages

  • Retail experience

  • E-commerce experience

  • 5+ years of experience in Machine Learning

  • Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)

  • Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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