Job Description

We're looking for a Principal Data Scientist with a passion for both math and technology to join our growing Advanced Analytics group.


This group writes the math and software to unlock the value in data assets while creating new and unique decision product offerings for customers. In this role, you will have the opportunity to work directly with the business innovation teams, marketing, sales and global customers along with expertise from Ecolab's Center for Advanced Analytics, to develop the data strategy and advanced analytics applications pipeline.


You will have the opportunity to stay on the cutting edge of technology research and then to put your skills this research to practical use by building advanced data analytics science models your own software systems. You will be able to see the results of your efforts ripple throughout the company our systems in real-time. You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on the core metrics of the organization.


Responsibilities:

Collaborate with business stakeholders to understand and refine data-related questions and requirements Utilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations. Design and implement data models and algorithms to support data-driven decision making. Investigate internal and external data sources to determine availability, quality, and relevance Identify, collect, and analyze relevant data needed to address specific business challenges Propose solutions to close data gaps. Define data structures, formats, and transformation logic needed to support reporting and analytics. Leverage data science techniques to uncover trends, patterns, and correlations in large datasets. Apply data science techniques to automate data validation processes and enhance data integrity. Conduct thorough quality assurance checks on data to ensure accuracy and reliability. Present findings and insights clearly to business stakeholders. Stay current with emerging trends and technologies in data research, business intelligence, and data science.

Skills:

8+ years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as 'extra' and optional). Proficient in AI/ML algorithms and implementation experience with Python libraries. (Pandas, Numpy, scikit-learn, TensorFlow, Keras) Data mining & preparation using Python. Proficient in statistical analysis to drive decisions. Build and verify hypothesis based on abstract problem statement. Practical experience with Databricks for writing and deploying code through jobs and pipelines. Proficiency SQL (programming languages) for data science related assignments. Experience on building and deploying pipelines in Microsoft azure. Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA. Fine-tune and evaluate Large Language Models for industry-specific tasks. Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face. Deep understanding of LLMs, prompt engineering, and transformer architectures. Educational background in Math / Statistics / Engineering / Science. Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.

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.