Sr Data Scientist

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, check out our benefits site HERE