Data Scientist – AI Solutions

ChampionX•Sugar Land, TX

22h•Onsite

About The Position

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, we invite you to apply. This is your opportunity to join a growing company offering a competitive base salary and benefits.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.