Senior Manager, Data Science (Models)

About the role

We’re looking for a Data Scientist (Models) to help drive model design and training across several forecasting and prediction use cases in a fast-paced, collaborative environment. This is a hybrid role in Houston, TX, where you’ll contribute hands-on technical expertise, strong documentation, and thoughtful partnership with the lead data science team.

Responsibilities

• Design, build, and train models for forecasting, failure prediction, mix classification, and demand lifecycle analysis
• Develop and refine machine learning pipelines that support feature engineering and experimentation efforts
• Run model testing activities such as hyperparameter tuning, ablation studies, and feature importance analysis
• Collaborate closely with the lead data scientist on parallel workstreams to support efficient model development
• Contribute to model cards, experiment documentation, performance summaries, and accuracy reporting
• Use manufacturing or inventory-related data when available to inform modeling approaches and insights

Skills

• Strong experience with machine learning modeling, including both classification and regression
• Hands-on programming experience with Python and scikit-learn
• Experience using LightGBM and/or XGBoost
• Working knowledge of SageMaker, including training jobs and hyperparameter tuning
• Ability to work effectively under the direction of a lead data scientist
• Strong documentation habits and attention to detail
• Clear communication and a collaborative mindset

Preferred Skills

• Experience with multi-class classification problems
• Exposure to manufacturing, supply chain, or inventory data
• Background in oil and gas or related operational environments
• Familiarity with demand forecasting or predictive modeling for operational use cases