About this opportunity
Brady Corporation lists this Data Scientist – AI/ML & BI Analytics opportunity in milwaukee, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Who we are:
Brady makes products that make the world a safer and more productive place. We are a global leader in safety, identification and compliance solutions for a diverse range of workplaces. From the depths of the ocean to outer space, from the factory floor to the delivery room - we’re just about everywhere you look. Companies around the world trust Brady because of our deep expertise and knowledge across a wide range of industries and applications - powered by our world-class manufacturing capabilities.
We have a diverse customer base in industries including electronics, telecommunications, manufacturing, electrical, construction, healthcare, aerospace and more. As of July 31, 2023, Brady employed approximately 5,600 people worldwide. Our fiscal 2023 sales were approximately $1.33 billion. Brady stock trades on the New York Stock Exchange under the symbol BRC. You can learn more about us at
Why work at Brady:
A career at Brady means working for a global company that has thrived for over 100 years, and whose innovative spirit drives our future growth. Brady offers competitive pay and great benefits, supported by a culture that encourages collaboration and innovation. We strive to foster an inclusive workplace where diverse talent can learn, grow, and succeed. And with deeply rooted values, no matter where you work at Brady, you’ll feel connected to the community through our charitable contributions and opportunities to give back.
Our headquarters are in Milwaukee, Wisconsin, but we have more than 70 locations globally, giving our employees the opportunity to work with colleagues around the world.
What we need:
A key member of the Business Intelligence team, this person will design and tune the AI/stat models to meet the business needs.
What you’ll be doing:
Understand the business need including nuances of the products, sales channels, business cycles, and levers like promotions, advertising, etc.
Ensure completeness, accuracy, and quality of data received.
Identify anomalies in the data and resolve the anomalies partnering with business.
ETL and develop scalable machine learning pipelines.
Design, configure and tune the AI product model to generate the necessary model outputs.
Evaluate the accuracy of the model outputs and analyze the output to identify issues in the model.
Create and present reports showing model performance, and have an engaging conversation with business stakeholders.
Analyze and resolve any ongoing issues with model performance.
What you’ll need to be successful:
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics, or other related fields
3+ years of Data Science experience working in applied machine learning.
2+ years of hands-on experience in python, and SQL.
Be able to use data visualization / BI tools, such as Tableau, Power BI, or Qlik.
Skilled in developing and deploying machine learning models and solutions, analytical problem-solving, pattern recognition, and predictive modeling
Understanding of data structures, data modeling, and software architecture. The experience of working on cloud infrastructures will be helpful.
Expertise in evaluating model output and identifying model improvement opportunities.
Excellent problem-solving skills and natural ability to think analytically.
Strong communication skills.
Strong work ethic and passion for learning and contributing to the development
Collaborative mindset. Able to collaborate closely and effectively with teams
Benefits:
Complete insurance coverage starting on first day of employment – medical, dental, vision, life
401(k) with company match
Tuition reimbursement
Bonus opportunity
Vacation and holiday pay
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Worksite address
milwaukee, WI, 53244, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.