Data Scientist

IBM

Quick summary

Work type
On-site
Location
Houston, TX
Posted
3 days ago

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How this pay compares to similar roles

Similar $154k
$87k most similar roles pay here $209k

This listing doesn't post a salary. Most similar roles pay $126,800–$181,588.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 921 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 10 roles with salary data.

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At a glance

TL;DR · Data Scientist

As a Senior Data Scientist on the Artificial Intelligence team based in Houston, you will architect and deliver cutting-edge AI solutions using foundation models and large language models, with a focus on tools like Github Copilot and Amazon Code Whisperer. Your day-to-day responsibilities include developing cognitive solutions that process structured and unstructured data, implementing AI frameworks such as TensorFlow and PyTorch, and managing the full lifecycle of AI projects from research to deployment in production environments. You will collaborate closely with stakeholders to identify business problems and drive value through advanced analytics techniques and modern UI frameworks like React.js and AngularJS. Proficiency in Python, experience with cloud platforms (AWS, Azure), and knowledge of libraries such as SciKit Learn and Pandas are essential for this role, which aims to solve complex cognitive computing challenges at scale.

What you'll do

  • Design and deliver AI solutions using foundation models and large language models.
  • Develop cognitive solutions that process both structured and unstructured data.
  • Implement AI frameworks like TensorFlow and PyTorch to deploy models.
  • Manage the full lifecycle of AI projects from research to production.
  • Apply advanced analytics techniques for structured data analysis.
  • Work with cloud platforms and databases in AI project deployment.

What we're looking for

  • Proficient in Python for developing and deploying AI models.
  • Experience with AI frameworks like TensorFlow, PyTorch, Keras, or Hugging Face.
  • Expertise in NLP, ML, and large language model techniques.
  • Strong programming skills and knowledge of modern UI frameworks.
  • Familiarity with cloud platforms (Kubernetes, AWS, Azure, GCP) and databases.
  • Ability to manage the full AI project lifecycle from research to deployment.
  • Exposure to advanced analytics for structured data interpretation.

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