Sr Data Scientist

Milwaukee Tool; Milwaukee (WI); On-site; USD 90,000 - 130,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to join its innovative Global Operations team. In this pivotal role, you will leverage your expertise in machine learning and data engineering to develop solutions that optimize manufacturing processes and prevent downtime. Collaborating with cross-functional teams, you will create real-time data pipelines and predictive maintenance models that drive efficiency and enhance product quality. This role offers the opportunity to work with cutting-edge technology in a supportive environment, where your contributions will directly impact the company's success and growth in the construction industry.

Benefits

Health, Dental, and Vision Insurance

401(k) Savings Plan

Education Assistance

On-site Wellness and Fitness Center

Food and Coffee Service

Qualifications

• 5+ years of experience in data science or engineering roles.
• Strong background in statistical modeling and machine learning.
• Experience with cloud environments, particularly Azure.

Responsibilities

• Develop machine learning solutions to prevent line-down events.
• Build scalable data pipelines for low-latency analytics.
• Collaborate with global teams to implement data-driven solutions.

Skills

Statistical Modeling

Machine Learning Algorithms

Python

Data Engineering

Data Visualization

Problem-Solving

Education

Bachelor's or Master’s in Computer Science

Statistics

Mathematics

Tools

Python

R

SQL

TensorFlow

PyTorch

Spark

Azure Data Factory

Docker

Power BI

Job description

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Job Description

WE CREATE EMPOWERED LEADERS!

At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success -- so we give you unlimited access to everything you need to provide technical solutions on our Global Operations Data & Analytics Team.

Milwaukee Tool is seeking a Sr. Data Scientist to join our growing operations team in Milwaukee, WI. Milwaukee Tool is known for its strong business culture, which is centered around several core values. One of the most important of these values is a focus on innovation and technology. Milwaukee Tool is constantly pushing the boundaries of what is possible with business insights, and the company encourages its employees to think outside the box and come up with new and creative solutions to problems.

Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.

Your Role On Our Team

Milwaukee Tool values candidates who have a strong focus on business acumen. As a Sr. Data Scientist on our Global Operations team, you will develop machine learning solutions to prevent line-down events, optimize efficiency, and provide real-time production alerts. You will deploy predictive maintenance models, automate defect detection, and integrate AI with manufacturing equipment. Your work will focus on scalable data pipelines, edge-based anomaly detection, and high-quality data infrastructure for faster decision-making.

You’ll Be DISRUPTIVE Through These Duties And Responsibilities

• Lead cross-functional projects: Partner with global teams to develop data-driven solutions that prevent downtime, improve quality, and optimize global manufacturing and service operations.
• Enable vision solutions in operations environments: Collaborate with cross-functional stakeholders to translate production and service requirements into automated vision machine learning solutions to improve operations process efficiency, product quality, and diagnostics standards for the global team.
• Develop real-time data pipelines: Build scalable streaming architectures using Python and Spark for low-latency analytics, anomaly detection, and proactive monitoring around the world.
• Optimize global manufacturing with AI: Analyze data to detect anomalies, predict line-down events, and alert production leaders to prevent disruptions.
• Establish best practices and standards: Create and maintain thorough, high-quality documentation of methodologies, processes, and insights to ensure reproducibility and facilitate cross-team collaboration.
• Collaborate globally: Partner with international teams to implement data-driven solutions, integrate with manufacturing systems, and support deployments, requiring up to 10% international travel.
• Mentor and support team members: Provide guidance and share knowledge to strengthen data science capabilities.
• Other duties as assigned: Contribute to various tasks and projects as needed to support the team.
  
  

The TOOLS You’ll Bring With You

• Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in operations, data engineering, data science or a combination thereof.
• Demonstrated proficiency in statistical modeling, forecasting methods, and machine learning algorithms using Python, R, SQL, TensorFlow, PyTorch, and Spark.
• Experience designing scalable CI/CD pipelines using MLFlow and related tools to automate the tracking, versioning, deployment, and monitoring of machine learning models across staging and production environments.
• Experience in training and deploying machine learning models and data solutions in cloud environments, particularly Azure.
• Hands-on expertise using Azure Data Factory or Apache Tools (NiFi, Airflow) for orchestrating and automating data workflows.
• Strong background in developing, optimizing, and maintaining real-time streaming and batch ETL/ELT pipelines using Python and Spark, preferably with Databricks.
• Strong communication and collaboration skills, with the ability to explain complex analyses to technical and non-technical stakeholders.
• Experience with data intelligence solutions including reports, dashboards, scorecards, and data visualizations, ideally in Power BI.
• Strong problem-solving skills with the ability to tackle complex data challenges and deliver actionable insights.
  
  

Other TOOLS We Prefer You To Have

• Experience with Containerized Applications using Docker
• Experience with C#, React, or user interface frameworks
• Experience with edge devices using vision solutions
• Experience with deploying machine learning models and monitoring technologies in edge devices
  
  

We Provide These Great Perks And Benefits

• Robust health, dental and vision insurance plans
• Generous 401 (K) savings plan
• Education assistance
• On-site wellness, fitness center, food, and coffee service
• And many more
  
  

Milwaukee Tool is an equal opportunity employer.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Manufacturing

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