Director, Data Science

The Data Science Director will establish and scale deep analytics and predictive intelligence capabilities across the enterprise to increase operational effectiveness and efficiencies. This role will define where machine learning creates value, build the team and infrastructure to deliver it, and embed data science models & tools into strategic organization-wide decision-making.

Requirements

• Experience in data science, analytics, machine learning, GenAI or related quantitative fields
• Experience deploying production ML systems that delivered measurable business outcomes
• Experience operating in enterprise software, SaaS, ERP, or B2B technology environments
• Deep expertise in machine learning, statistical modeling, optimization, and causal inference
• Experience designing and deploying GenAI solutions, including LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
• Experience influencing C-suite and drive organizational change, as well as having had experience managing P&L impact and presenting ROI of analytics investments to senior leadership
• Full-Stack Data Ecosystem Experience, having fluency across the data stack
• Value Creation Mindset, prioritize innovation and business value creation when shaping data and analytics strategies
• Experience in Holistic Analytics Design, having the ability to assess a business problem, identify the insights required, determine the necessary data, and design end-to-end analytics solutions