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Data Scientist – AI Solutions

Job in Sugar Land, Fort Bend County, Texas, 77479, USA
Listing for: ChampionX
Full Time position
Listed on 2026-07-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 165000 USD Yearly USD 110000.00 165000.00 YEAR
Job Description & How to Apply Below

We are looking for a highly motivated Data Scientist – AI Solutions in our Control Tower team located in Sugar Land, Texas
. The Data Scientist – AI Solutions will focus on developing practical AI-enabled solutions, intelligent workflows, and agent-based applications that accelerate business processes and digital transformation initiatives across the organization. If you are a passionate professional that likes to work in an autonomous, hands‑on environment, this is your opportunity to join a growing company offering a competitive base salary and benefits.

What’s

In It For You
  • The ability to make an impact and shape your career with a company that is passionate about growth
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best
  • Thrive in a company that values sustainability, and drives a safety‑focused culture
  • Comprehensive benefits package starting day 1 of employment- medical, dental, vision, matching 401k, and more!
What You Will Do
  • Develop AI-enabled applications, intelligent workflows, and agent‑based solutions to improve business efficiency and accelerate decision‑making.
  • Build and maintain scalable data pipelines, APIs, integrations, and automation workflows across multiple enterprise systems and data sources.
  • Leverage modern AI‑assisted development workflows and automation tools to accelerate solution prototyping, code generation, testing, and deployment.
  • Design and implement AI/ML workflows leveraging LLMs, embeddings, vector databases, semantic search, and orchestration frameworks.
  • Prototype and deploy practical AI solutions supporting commercial, operational, product management, marketing, and technology organizations.
  • Collaborate with business stakeholders to identify transformation opportunities and translate operational challenges into scalable digital solutions.
  • Develop analytics‑ready datasets and structured data models to support AI applications, automation, and advanced business workflows.
  • Support rapid experimentation, proof‑of‑concept development, testing, and continuous improvement of AI‑enabled solutions.
  • Collaborate with technical teams, digital organizations, and business functions to ensure alignment, adoption, scalability, and long‑term sustainability of developed solutions.
Minimum Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Engineering, Information Systems, Applied Mathematics, Chemical Engineering, Petroleum Engineering or related fields with 5+ years of relevant experience; or Master’s degree with 3+ years of relevant experience.
  • Hands‑on experience developing AI/ML applications, intelligent automation solutions, or workflow orchestration systems.
  • Strong programming and data engineering skills (Python, SQL, APIs, automation frameworks, data pipelines).
  • Experience working with modern AI technologies including LLMs, embeddings, semantic search, vector databases, and agent‑based frameworks.
  • Experience integrating and standardizing data from multiple enterprise systems and heterogeneous data sources.
  • Strong problem‑solving skills with the ability to operate independently in fast‑moving environments.
  • Ability to work across technical and business stakeholders to deliver practical and scalable solutions.
  • Strong oral and written communication skills.
Preferred Qualifications
  • Experience developing agentic AI applications, copilots, or workflow automation tools.
  • Experience using modern AI‑assisted software development and agentic coding tools within rapid prototyping or enterprise solution environments.
  • Experience with cloud platforms, enterprise integrations, and AI application deployment.
  • Experience with orchestration frameworks, automation platforms, or API‑based architectures.
  • Familiarity with specialty chemicals, manufacturing, supply chain, commercial operations, or industrial business processes.
  • Experience rapidly prototyping and deploying business‑focused AI solutions in enterprise environments.
  • Understanding of data governance, security, and scalable AI solution design.
About Us

ChampionX is now part of SLB, a global technology company driving energy innovation for a balanced planet. As…

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