Global Marketing Data Science Lead

Key Skills

Data Modeling, Machine learning techniques, PowerBI, Python Programming, QlikView, SQL, Tableau

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 www.bradycorp.com.

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:

Brady Worldwide Inc. is seeking a Global Marketing Data Science Lead to work in our Milwaukee, WI office. The Global Marketing Data Science Lead will be responsible for leveraging advanced analytics and data science techniques to drive data-driven decision-making, optimize marketing strategies, and maximize business growth on a global scale. As a key member of the team, you will work closely with cross-functional stakeholders to extract insights from large volumes of marketing data, develop predictive models, and provide actionable recommendations to enhance marketing effectiveness and efficiency.

What you’ll be doing:

• Collect, clean, and analyze large and complex datasets from various marketing channels and sources.
• Apply statistical modeling, machine learning, and data mining techniques to identify patterns, trends, and correlations in marketing data.
• Develop predictive models to forecast customer behavior, segment customers, and optimize marketing campaigns.
• Conduct A/B testing and experiment analysis to evaluate marketing strategies and initiatives.
• Translate data findings into actionable insights and present them to stakeholders in a clear and concise manner.
• Collaborate with global marketing teams, including digital marketing, product management, and customer analytics, to align data science initiatives with overall marketing goals.
• Work closely with business stakeholders to understand their requirements, goals, and challenges, and provide data-driven solutions.
• Contribute to the development and implementation of data science frameworks, best practices, and standards within the marketing organization.
• Stay up to date with the latest trends, tools, and techniques in data science, machine learning, and marketing analytics.
• Continuously explore new data sources and experiment with innovative approaches to improve marketing strategies.

What you’ll need to be successful:

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics, or related field and 5 years of experience in a data science or analytics field in a marketing or digital marketing context.
• We will also accept individuals with a Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics, or related field and 3 years of experience in a data science or analytics field in a marketing or digital marketing context. As part of the required five years of experience (Bachelor’s), or three years experience (Master’s) the individual must have:
• 3 years of experience with statistical analysis, data mining, and predictive modeling techniques.
• 3 years of Data Science experience working in applied machine learning.
• 2 years of hands-on experience in python, and SQL.
• 2 years of experience with data visualization / BI tools, such as Tableau, Power BI, or Qlik.
• 3 years of experience developing and deploying machine learning models and solutions, analytical problem-solving, pattern recognition, and predictive modeling
• 2 years of experience with data structures, data modeling, and software architecture.
• 2 years of experience evaluating model output and identifying model improvement opportunities.

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