Lead Data & BI Scientist

The Company

Zurn Elkay Water Solutions Corporation is a thriving, values-driven company focused on doing the right things. We’re a fast growing, publicly traded company (NYSE: ZWS), with an enduring reputation for integrity, giving back, and providing an engaging, inclusive environment where careers flourish and grow.

Named by Newsweek as One of America’s Most Responsible Companies and an Energage USA Top Workplace, at Zurn Elkay Water Solutions Corporation, we never forget that our people are at the center of what makes us successful. They are the driving force behind our superior quality, product ingenuity, and exceptional customer experience. Our commitment to our people and their professional development is a recipe for success that has fueled our growth for over 100 years, as one of today’s leading international suppliers of plumbing and water delivery solutions.

Headquartered in Milwaukee, WI, Zurn Elkay Water Solutions Corporation employs over 2800 employees worldwide, working from 24 locations across the U.S., China, Canada, Dubai, and Mexico, with sales offices available around the globe.  We hope you’ll visit our website and learn more about Zurn Elkay at zurnelkay.com.

If you’re ready to join a company where what you do makes a difference and you have pride in the work you are doing, talk to us about joining the Zurn Elkay Water Solutions Corporation family!

If you are a current employee, please navigate here to apply internally.

Job Description

The Lead Data & BI Scientist is a senior-level role that blends advanced data science capabilities with business intelligence leadership. This position is responsible for driving strategic insight generation, building predictive models, and leading analytics initiatives across departments such as sales, marketing, pricing, manufacturing, logistics, supply chain, and finance.

The role requires both technical depth and business acumen to ensure that data-driven solutions are aligned with organizational goals and deliver measurable value.

Key Accountabilities

Strategic Insight & Business Partnership

• Partner with business leaders to identify high-impact opportunities and form hypotheses.

• Present findings and recommendations to leadership in a clear, impactful manner.

• Demonstrate ROI and business value from analytics initiatives.

Data Science Leadership

• Define and implement data science processes, tools, and governance frameworks.

• Mentor junior team members and foster a culture of continuous learning.

Advanced Analytics & Modeling

• Design, build and validate predictive models, machine learning algorithms and statistical analyses.

• Translate complex data into actionable insights for strategic decision-making.

Technology & Tools

• Utilize tools such as Tableau, Power BI, OBIEE/OAC, Snowflake, SQL, R, Python, and data catalogs.

• Stay current with emerging technologies like agentic analytics and AI-driven insights.

• Evaluate and recommend BI platforms and data science tools.

Project & Change Management

• Manage analytics projects from inception to delivery.

• Provide training and change management support for new tools and processes.

• Lead the establishment of a data science center of excellence.

Qualifications/Requirements

• Bachelor degree required, in a quantitative field such as engineering, mathematics, science, and/or MIS. Master degree preferred

• 10+ years of overall work experience

• 7+ years of experience in data science and statistical analysis

• Strong understanding and experience with analytics tool such as Tableau and OBIEE/OAC (or similar tools) for reporting and visualization, Snowflake for data storage, data modeling, data prep or ETL tools, R or Python, SQL, and data catalogs.

• Strong understanding and experience with multiple statistical and quantitative models and techniques such as (but not limited to) those used for predictive analytics, machine learning, AI, linear models and optimization, clustering, and decision tree.

• Deep experience applying data science to solve problems in at least one of the following areas is required. Experience in multiple areas is preferred: marketing, manufacturing, pricing, logistics, sourcing, and sales.

• S