Data Scientist
Core
Build, test, and deploy analytical and machine learning solutions (classification, forecasting, summarization, Q&A, recommendations) and GenAI applications (LLM APIs, RAG, agents) to turn operational data into actionable insights for the Institutional & Specialty segment.
Role type
Senior IC Data Scientist (ML & GenAI)
Builds
Production-grade ML models, GenAI applications, and dashboards for customer-facing decision support.
Domain
Industrial IoT / Operational Data / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Classical Machine Learning, GenAI/LLM development, RAG pipelines, Agent workflows, Model evaluation & error analysis, CI/CD, Dashboarding
Preferred skills
Databricks (Spark SQL, Delta Lake, MLflow), LangChain, Azure, Retail/QSR domain experience
Technologies
Python, SQL, PySpark, LLM APIs, Vector databases, Power BI, Databricks, Azure (via careerplan.io/jobs/R00306634-1-data-scientist-at-ecolab)
Responsibilities
Build and deploy ML/GenAI solutions; Train and evaluate models with rigorous error analysis; Develop RAG and agent-based workflows; Prepare and validate large-scale datasets; Monitor production model performance; Create dashboards for stakeholder decision-making.
Seniority
Senior, hands-on IC
