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Data Scientist

Ecolab • Water Utilities • Chemical Manufacturing • Bachelor's Degree • 5 months ago

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Salary

≈ $19k – $44k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Middle · 3+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Apr 15, 2026. Ecolab scores B on the Alion truth index.

Overview

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Ecolab

Ecolab is a water, hygiene and infection prevention company headquartered in Saint Paul, Minnesota, supplying cleaning and sanitation chemicals, water treatment programs, food safety services and pest elimination to restaurants, hotels, hospitals, food and beverage plants and heavy industry. Founded in 1923, it is a Fortune 500 company that serves customers at more than 100,000 sites worldwide and owns Nalco Water, its industrial water treatment business. Openings cover sales and territory managers, field service representatives, food safety specialists, lab and manufacturing staff, logistics associates, finance analysts and data and AI engineers.

ecolab.com • HQ: Saint Paul, United States • Water Utilities • Sterilization & Infection Control • Chemical Manufacturing • 1001-5000 employees • Est. 1923

Tech stack of Ecolab

Job Characteristics:Demonstrates use and application of data science principles, methods, theories, and concepts to assignments where precedents may exist. Demonstrates basic project management skills. Provides solutions to a variety of problems which require collecting and analyzing data from diverse sources to solve problems. Demonstrates ability and initiative to identify and explore novel approaches to data science solutions. Contributes 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 3 to 5 years related experience or MS and less than 2 years related experience.

Independence level/Reports to:Works under limited supervision on assigned tasks or portions of projects to determine and develop approach to meet desired objectives. May lead projects/research with limited scope and complexity. Normally reports to Data Science Manager or more senior technical leader.

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