Apply on Employer Site

Zurn Elkay Water Solutions · 18 hours ago

Lead Data & BI Scientist

Downers Grove, IL

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

Zurn Elkay Water Solutions Corporation is a thriving, values-driven company focused on doing the right things. They are seeking a Lead Data & BI Scientist who will be responsible for driving strategic insight generation, building predictive models, and leading analytics initiatives across various departments.

ConsultingManufacturingWaterWater Purification

Responsibilities

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

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

Mentor junior team members and foster a culture of continuous learning

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

Translate complex data into actionable insights for strategic decision-making

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

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

Qualification

Data SciencePredictive ModelingMachine LearningTableauPythonSQLStatistical AnalysisProject ManagementCommunication SkillsMentoringCreativity

Required

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

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

Strong communication (verbal, written) skills, and ability to work with all levels of the organization effectively

Working knowledge of and proven experience applying project management tools

Strong analytical skills

Ability to lead and mentor the work of others

High degree of creativity and latitude is expected