Senior Customer Data Scientist I

Highlights

• Solve real-world customer business challenges with data-driven solutions.
• Partner directly with customers to guide model decisions and deployment.
• Design and run training sessions for diverse data science audiences.

What they offer

• Market leader in total rewards
• Remote-friendly culture
• Flexible working environment
• Be part of a world-class team
• Career growth

Ideal candidate

Customer-obsessed data scientist with 4+ years of hands-on experience who loves solving real business problems and translating complex ML into clear business value.

Requirements

• Minimum 4 years hands-on experience in data science, machine learning and AI
• Experience solving machine learning problems using H2O products, Python, R
• Knowledge of machine learning techniques including supervised/unsupervised, clustering, decision trees and neural networks
• Knowledge of advanced statistical techniques including regression, distributions and statistical tests
• Hands-on experience designing, training and tuning neural networks with PyTorch, TensorFlow or Keras
• Experience with image data and pretrained backbones for classification, detection or segmentation including transfer learning and GPU training
• Experience with GLM/Regression, Random Forest, Boosting, Trees, text mining and social network analysis
• Experience visualizing and presenting EDA to stakeholders using H2O Wave, Python/R, Tableau/PowerBI
• Understanding of post-production model monitoring with H2O MLOps, MLflow, etc.
• Experience applying Gen AI/LLMs including prompt engineering, RAG, LLMOps, fine-tuning and guardrails
• Strong problem-solving skills with ability to work independently and as part of a team
• Excellent communication and presentation skills for non-technical stakeholders