Data Scientist - Milwaukee, United States - Milwaukee Electric Tool Corporation

Milwaukee Electric Tool Corporation

Verified Company

Milwaukee, United States

2 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

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

Responsibilities:

Collaborate with crossfunctional teams to identify business problems, design solutions, deploy predictive models, and manage the model lifecycle
Use statistical and machine learning techniques to help analyze large data sets, create predictive models, and identify insights that drive business value
Help develop and maintain analytical models and algorithms to support inventory optimization
Implement datadriven solutions using Python and deploy them into production
Perform exploratory data analysis, data visualization, and data cleansing to ensure highquality data inputs for the models
Communicate complex analyses and results to both technical and nontechnical stakeholders
Stay uptodate with the latest advancements in data science, machine learning, and artificial intelligence

Qualifications:

Degree in Computer Science, Statistics, Mathematics, Economics, or a related field 1+ years of experience with demonstrated experience developing and tuning predictive models and machine learning algorithms
Programming skills in Python, with experience in training and deploying models into production
Understanding of Spark and parallel cloud computation
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 nontechnical stakeholders
Experience with data intelligence solutions that support end user's analysis and discussion making, including reports, dashboards, scorecards, and data visualizations
Strong problemsolving skills, with a datadriven 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: