Principal Data Scientist

Ecolab

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Were 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 this role you will have the opportunity to work directly with the business innovation teams marketing sales and global customers along with expertise from Ecolabs 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.

Required Experience:

Staff IC

Were 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 this role you will have the o...
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Key Skills

  • Machine Learning
  • Python
  • Data Science
  • AI
  • R
  • Research Experience
  • Sensors
  • Drug Discovery
  • Research & Development
  • Natural Language Processing
  • Data Analysis Skills
  • Toxicology Experience

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