Lead AI Feature Engineer

Enterprise AI team

Role overview

Responsibilities

• Discover, develop, and maintain high-quality features that improve model performance, explainability, and reliability.
• Design data exploration, feature engineering, and feature-selection experiments to identify signals and validate assumptions.
• Build reusable feature data products, feature stores, and feature-generation pipelines for multiple solutions, models, and operating companies.
• Establish practices for feature quality, lineage, monitoring, documentation, and lifecycle management.
• Partner with data scientists, AI scientists, AI engineers, product owners, and architects to develop scalable feature assets and predictive capabilities.

Essential requirements

• Strong hands-on experience in data science, machine learning, feature engineering, and predictive modeling for production ML solutions.
• Deep understanding of data preparation, feature extraction, dimensionality reduction, feature selection, statistical analysis, and model performance optimization.
• Proficiency in Python, SQL, notebooks, machine learning libraries, and modern data-processing frameworks.
• Experience building scalable data pipelines, feature-generation workflows, and reusable feature assets in cloud-based environments.
• Strong analytical and problem-solving skills; able to identify valuable signals in complex data and translate them into measurable outcomes.

Additional experience preferred

• Feature stores, reusable feature repositories, or feature engineering frameworks are a plus.
• Predictive modeling with gradient boosting, ensemble methods, Bayesian modeling, optimization, forecasting, or advanced statistical approaches is a plus.
• Experience in life sciences, diagnostics, healthcare, laboratory environments, advanced manufacturing, or other data-rich scientific industries is a plus.

Work arrangement

• The position is eligible for remote work from the employee’s home.

Benefits

• Danaher offers benefit programs including healthcare and paid time off.