Director, Data Scientist

Role Overview

Own data exploration, feature engineering, and model development and evaluation to transform complex data into actionable insights and support AI model provisioning. Partner closely with engineering teams to design, deploy, and monitor models responsibly in alignment with business objectives.

Key Responsibilities

• Lead data exploration and feature engineering activities to support model development.
• Develop, evaluate, and refine statistical and machine learning models.
• Translate complex data into actionable business insights.
• Design experiments and A/B tests to assess model and business performance.
• Define and track business-aligned success metrics.
• Apply model explainability techniques to support transparent and responsible AI usage.
• Collaborate closely with engineering partners to deploy, monitor, and maintain models in production.

Required Qualifications

• Strong foundation in statistics and machine learning.
• Proficiency in Python, including experience with pandas, scikit-learn, and XGBoost.
• Experience with experimental design and A/B testing methodologies.
• Ability to connect technical model outputs to business needs and domain context.
• Familiarity with practical LLM evaluation techniques.
• Demonstrated ability to work cross-functionally with technical and business stakeholders.

Benefits and Rewards

• Competitive compensation package, including base salary ranging from $160,000 to $260,000 per year.
• Flexible global resources and tools for your life’s journey.
• Health focus, personal resilience, and financial goal support.
• Generous paid leaves, including paid volunteer time.
• Equal Employment Opportunity/Affirmative Action Employer.