Data Scientist – AI Solutions

About the role

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, we invite you to apply. 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