Staff Data Scientist

• Spearheading technical strategy and end-to-end delivery of sophisticated ML models across marketing and loyalty
• Managing the technical development of data scientists, guiding complex projects, fostering skill growth, and ensuring high-quality model implementation
• Championing and evolving model explainability and business trust via advanced SHAP insights, validation reports, and clear cross-functional communication with senior stakeholders
• Architecting and enhancing MLOps infrastructure, including automating model pipelines, implementing advanced versioning/drift detection, and streamlining auto-retraining
• Establishing and enforcing rigorous model validation frameworks (e.g., advanced OOT validation, sophisticated temporal splits, comprehensive cross-validation) for exceptional model quality, generalization, and compliance
• Mentoring and developing data scientists at all levels, leading technical design, reviewing code/model logic, and spearheading knowledge-sharing
• Collaborating with executive and business leaders to identify and prioritize high-value data science initiatives, ensuring models address strategic problems and deliver commercial impact
• Staying current with data science, ML, and MLOps advancements, and driving adoption of innovative technologies within the team

• 10+ years of experience deploying impactful ML models in production, driving commercial outcomes, and leading technical teams
• Profound technical expertise in Python (pandas, scikit-learn), XGBoost (tuning, custom objectives, SHAP), and AWS (SageMaker, ECS)
• Exceptional ML validation skills, including mitigating data leakage, rigorous OOT testing, and robust backtesting framework design
• Extensive hands-on experience with Snowflake / Databricks
• strong familiarity with MLflow & dbt, with proven ability to architect and optimize data workflows
• A strategic, business-centric mindset
• adept at navigating ambiguity, prioritizing in a fast-paced environment, and delivering high-value solutions on tight timelines
• Demonstrated experience managing the technical development of data science teams of 5+ members, including mentoring staff and fostering a culture of technical excellence
• Excellent communication and stakeholder management skills, able to articulate complex technical concepts to diverse audiences, including executive leadership

All team members have a stake in Neo’s success and earn meaningful equity through stock options