Data Scientist

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Ecolab

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Job Summary


Salary
₹53,333 - ₹83,333 / Monthly EST

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Spark Azure NumPy Git Databricks Keras Pandas pySpark CI TensorFlow Snowflake Delta Lake

Job Description

As a Data Scientist, you will design, build, and deploy advanced data-driven and AI-powered solutions that address complex business challenges. This role blends hands-on modeling, data engineering, and solution delivery, with a focus on scalable workflows and production-grade deployment across cloud platforms.

Required Skills

  • 3-5 years of experience in Data Science and ML solution development
  • Strong programming skills in Python with libraries such as Pandas, NumPy, scikit-learn, TensorFlow, and Keras
  • Hands-on experience with Databricks (Spark SQL, PySpark, Delta Lake) and Snowflake (mandatory)
  • Solid understanding of statistical modeling, hypothesis testing, and feature engineering
  • Experience with SQL and cloud platforms (Azure preferred)
  • Proven experience working with large language models and transformer architectures
  • Familiarity with retrieval-augmented generation (RAG), prompt engineering, and LLMOps practices
  • Strong communication and collaboration skills, with the ability to simplify complex concepts
  • Experience with agile methodology, Git, and CI/CD best practices

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.

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