Job Description:
Applicants must be authorized to work in the U.S. ; Sponsorship is not available for this position.
This is a hybrid schedule that requires 3 days onsite at our Milwaukee, WI location.
WE CREATE EMPOWERED LEADERS!
Milwaukee Tool is seeking an experienced Senior Data Scientist to join our growing Business Analytics 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.
Your Role on Our Team
Milwaukee Tool values candidates who have a strong focus on business acumen. As a Senior Data Scientist, you will be working closely with business leaders and stakeholders to identify opportunities to leverage data to drive business outcomes with a focus on inventory optimization. Therefore, it is essential that you have a deep understanding of the business and the industry, as well as the ability to translate data insights into actionable recommendations for business partners. The ideal candidate will have a strong background in communication, exploratory data analysis, statistical modeling, and machine learning.
You'll be DISRUPTIVE through these duties and responsibilities:

• Collaborate with cross-functional teams to identify business problems, design solutions, deploy predictive models, and manage the model lifecycle
• Use statistical and machine learning techniques to analyze large data sets, create predictive models, and identify insights that drive business value
• Develop and maintain analytical models and algorithms to support inventory optimization
• Implement data-driven solutions using Python and deploy them into production
• Perform exploratory data analysis, data visualization, and data cleansing to ensure high-quality data inputs for the models
• Communicate complex analyses and results to both technical and non-technical stakeholders
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence

The TOOLS you'll bring with you:

• Degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• 3 years of experience with demonstrated experience developing and tuning predictive models and machine learning algorithms
• Strong programming skills in Python, with experience in training and deploying models into production
• Understanding of Spark and parallel cloud computation
• Strong statistical and mathematical skills, with experience in regression analysis, clustering, and other machine learning techniques
• Strong communication and collaboration skills, with the ability to explain complex analyses to technical and non-technical stakeholders
• Experience with data intelligences solutions that support end user's analysis and discussion making, including reports, dashboards, scorecards, and data visualizations
• Strong problem-solving skills, with a data-driven approach to decision making
• Experience in manufacturing or similar industries is a plus
• Experience in marketing and consumer insights is a plus
• Understanding of DevOps for CI/CD is a plus

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