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Engineer- Data Science

A global company focused on sustainable water solutions, helping the world move, improve, and enjoy water through residential, commercial, and industrial water management solutions.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS

Description For Engineer- Data Science

Pentair, a global leader in water solutions with $4.1 billion in revenue and 10,500 employees worldwide, is seeking a Senior Data Scientist to join their innovative team. This role combines cutting-edge AI/ML technologies with practical business applications, offering an opportunity to work on sophisticated data science projects. The position requires expertise in machine learning, deep learning, and generative AI, with a focus on implementing enterprise-grade solutions using modern cloud infrastructure. The ideal candidate will work with cross-functional teams, developing and deploying ML models while staying current with the latest AI advancements. This role at Pentair offers the chance to contribute to sustainable water solutions while working with state-of-the-art technology stacks including AWS services, Python, TypeScript, and various ML frameworks. The company's commitment to diversity and global presence provides an enriching work environment for continuous learning and professional growth.

Last updated 12 hours ago

Responsibilities For Engineer- Data Science

  • Develop and implement machine learning models and algorithms
  • Work closely with project stakeholders to understand requirements and translate them into deliverables
  • Utilize statistical and machine learning techniques to analyze and interpret complex data sets
  • Stay updated with the latest advancements in AI/ML technologies and methodologies
  • Collaborate with cross-functional teams to support various AI/ML initiatives

Requirements For Engineer- Data Science

Python
TypeScript
Node.js
React
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • 2-4 years of experience
  • Strong understanding of machine learning, deep learning and Generative AI concepts
  • Experience with cloud infrastructure for AI/ML on AWS
  • Expertise in building enterprise grade secure data ingestion pipelines
  • Proficiency in Python, TypeScript, NodeJS, ReactJS
  • Experience with data visualization tools
  • Strong knowledge of Generative AI/LLM development
  • Experience with LLM models APIs and frameworks
  • Expertise in implementing RAG systems

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