Hybrid in Dallas TX or Houston TX - Data Scientist/AI Engineer
Summary: We are seeking an applied Data Scientist to help turn data into actionable insights and predictive solutions. This role focuses on hands-on model development within a modern data platform partnering closely with engineering teams to solve real-world optimization and decision-making problems.
Responsibilities: * Develop train and iterate on machine learning models in Databricks * Apply neural networks tree-based models and classical optimization techniques * Collaborate closely with data and engineering teams on applied ML initiatives * Integrate and work with vendor-provided models and internal ML pipelines * Support new ML use cases and early AI/agent-based solutions as needed * Contribute to ML Ops practices (conceptual support not infrastructure ownership) * Hands-on experience working in Databricks * Experience building and deploying ML models (not just analysis) * Strong understanding of ML fundamentals and optimization methods * Engineering-oriented mindset with applied problem-solving experience * Comfortable working cross-functionally with engineers
Hybrid in Dallas TX or Houston TX - Data Scientist/AI Engineer Summary: We are seeking an applied Data Scientist to help turn data into actionable insights and predictive solutions. This role focuses on hands-on model development within a modern data platform partnering closely with engineering ...
Hybrid in Dallas TX or Houston TX - Data Scientist/AI Engineer
Summary: We are seeking an applied Data Scientist to help turn data into actionable insights and predictive solutions. This role focuses on hands-on model development within a modern data platform partnering closely with engineering teams to solve real-world optimization and decision-making problems.
Responsibilities: * Develop train and iterate on machine learning models in Databricks * Apply neural networks tree-based models and classical optimization techniques * Collaborate closely with data and engineering teams on applied ML initiatives * Integrate and work with vendor-provided models and internal ML pipelines * Support new ML use cases and early AI/agent-based solutions as needed * Contribute to ML Ops practices (conceptual support not infrastructure ownership) * Hands-on experience working in Databricks * Experience building and deploying ML models (not just analysis) * Strong understanding of ML fundamentals and optimization methods * Engineering-oriented mindset with applied problem-solving experience * Comfortable working cross-functionally with engineers