Sr Data Scientist

Ecolab•Saint Paul, MN

1d•$118,100 - $177,100•Hybrid

About The Position

Ecolab Digital is seeking an Artificial Intelligence & Analytics – Sr Data Scientist focused AI and Analytics Professional to unlock the value in data assets while creating, maturing, and maintaining unique offerings for customers in the Global Water segment. In this role, you will collaborate with the digital product innovation teams, marketing, sales and engineering counterparts to develop & deliver the advanced analytics pipeline for digital. You will own the execution of revenue generating AI product developments and enhancements required for scaled, outcome-based solution success.

Requirements

Bachelors Degree in Data Science, Economics, Math, Statistics or related field with an emphasis on analytics and 6 years of experience in progressive data science roles or Master’s degree with 3 years of experience in progressive data science roles
2 years’ experience with Python
Excellent communication & presentation skills, effectively partnering and delivering results to a broad spectrum of stakeholders
Ability to thrive in an ambiguous environment, embracing change and challenging the status quo
Proven reasoning in balancing practical business needs and analytics rigor
No immigration sponsorship is available for this role at this time.

Nice To Haves

Experience leading project teams with cross-functional influence
Experience with full lifecycle of data science product development
Demonstrated interconnected disciplinary knowledge of digital solution development
Proficiency in the Microsoft Azure Suite, including Databricks and PowerBI
Working knowledge of DevOps, git, Snowflake, and distributed compute platforms
Experience in building and scaling intelligent systems leveraging LLMs, embedding pipelines, and agent workflows
Proficiency with time series and sensor data
Experience in consulting and/or product management
Well-developed and proven leadership, strategic thinking, & business acumen

Responsibilities

Identify and define opportunities aligned to Water business challenges, navigating a wide range of problems and solution approaches.
Drive experimentation and delivery of digital AI / data science product innovations aligned to the overall digital product vision.
Work within an agile global resource model, planning for and delivering against strategically aligned initiatives as a team.
Network and collaborate with a broad range of internal business stakeholders to link and translate business strategy / VOC to technical opportunities, innovation build and lifecycle management.
Provide clear, consistent communication and presentation to various product stakeholders.
Mentor junior data scientists in the organization, fostering their development with hands-on engagement and a team mentality.
Utilize an extensive foundation of data science principles, methods, theories, and concepts to bring creativity, quality and technical ownership to the development of new, innovative AI solutions