Data Scientist in Houston TX. 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
Data Scientist in Houston TX. 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 optimizatio...
Data Scientist in Houston TX. 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
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