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Ecolab's Industrial sector is seeking a business focused Lead Data Scientist to unlock the value in data assets while maintaining and creating unique offerings for customers in the Industrial segment. In this role, you will collaborate with the business innovation teams, marketing, sales and engineering counterparts to help develop & deliver the advanced analytics pipeline for the business.In addition, you will own the execution of revenue generating analytics product developments and enhancements required for scaled solution success.
This position is based out of our Naperville, IL office and will follow a hybrid schedule.
What you will do
- Identify and define opportunities aligned to Industrial business challenges, navigating a wide range of problems and solution approaches.
- Drive experimentation and delivery of digital data science product innovations.
- Mentor junior data scientists in the organization, fostering their development with hands-on engagement.
- Work within an agile global resource model, planning for delivering against strategically aligned initiatives.
- Utilize an extensive foundation of data science principles, methods, theories, and concepts to bring creativity to the development of new, innovative solutions.
- Network and collaborate with a broad range of internal business stakeholders to define and deliver joint solutions.
- Leverage cutting edge technology to creatively solve problems and disrupt existing business models.
- Provide clear, consistent communication and presentation to various product stakeholders.
Minimum Qualifications
- Bachelors Degree in Data Science, Economics, Math, Statistics or related field with an emphasis on analytics and 8 years of experience in progressive data science role or Master's degree with 6 years of experience in progressive data science role
- Experience and proficiency in Python and SQL
- Excellent communication & presentation skills, effectively partnering and delivering results to a broad spectrum of stakeholders
- Experience leading teams with cross-functional influence
- Experience with full lifecycle of data science product development
Preferred Qualifications
- Ability to thrive in an ambiguous environment, embracing change and challenging the status quo
- Excellent organizational transformation, and leadership skills
- Demonstrated excellence in Data Science, Business Analytics and Engineering
- Proficiency in the Microsoft Azure Suite, including PowerBI and Databricks
- Working knowledge of git, Snowflake, and distributed compute platforms
- Proficiency with time series and sensor data
- Experience with scalable digital product development across the full lifecycle
- Proven reasoning in balancing practical business needs and analytics rigor
A trusted partner at nearly three million commercial customer locations, Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, our 47,000 associates help deliver comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world.
When you come to work at Ecolab, you get to take on some of the world's most meaningful challenges and have the opportunity to learn and grow, shape your career, make an impact and quickly see the importance of your work.
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Benefits
Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. to see our benefits.
If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here.
Covid-19 Vaccine Notice
Due to local mandates and customer requirements, applicants for certain customer-facing positions must be fully vaccinated (which in some situations requires a booster if eligible), unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.
Americans with Disabilities Act (ADA)
Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.
Our Commitment to Diversity and Inclusion
At Ecolab, we believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.
In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce. Ecolab is a place where you can grow your career, own your future and impact what matters.
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.