Job Characteristics:

Demonstrates full use and application of data science principles, methods, theories, and concepts to assignments where precedents may exist. Demonstrates working knowledge of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify and explore novel approaches to data science solutions. Makes strong contributions to the exploration, refinement and deployment of data science solutions.

Education/Work Experience:

Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 6-8 years related experience or MS and 3 years related experience or PhD and less than 2 years experience.

Independence level/Reports to:Acts as a key data science contributor on projects/experiments of moderate scope and complexity with high impact on the business. Acts with moderate latitude in determining technical approach required to meet desired objectives. Normally reports to Data Science Manager or more senior technical leader.

Responsibilities:

Design, develop and deploy agentic solutions and conversational AI agents.Leverage Databricks and/or Azure AI foundryIntegrate the agents with enterprise systems, data sources, and APIs for contextual, real-time responses.Optimize conversation flows, implement prompt engineering best practices, and utilize analytics for continuous improvement.Collaborate and communicate with business analysts, data scientists, and stakeholders to understand requirements and translate them into intelligent agent solutions.Ensure compliance with data privacy, security, and governance policies across all developed solutions.

Skills:

Strong communication skillsSoftware programing and development using Python.Experience with LLM's and python agentic frameworks.Experience in Databricks or Azure AI foundryCertification on Azure Open AI or MS AI Fundamentals would be highly preferred. Azure Function App - for creating serverless functions to handle event-driven tasks.AI Model Development - designing, training, and deploying machine learning models. Familiarity with various algorithms and techniques for supervised, unsupervised, and reinforcement learning.Experience with cloud platforms (preferably MS Azure) for deploying and managing AI solutions. Strong understanding of software development principles, version control (Git), and agile methodologies. 

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab 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, or disability.