Director of Data Science

General information

Country United States State Georgia City Atlanta Job ID 46834 Department Sales Experience Level DIRECTOR Employment Status FULL_TIME Workplace Type Hybrid

Description & Requirements

The Director of Data Science is accountable for establishing and scaling deep analytics and predictive intelligence capabilities across the enterprise to increase both the operational effectiveness and efficiencies of our internal functions. In this role, you will define where machine learning creates value, build the team and infrastructure to deliver it, and embed data science models & tools into the strategic organization-wide decision-making. This is a foundational role for someone who understands how to translate technical capabilities into business impact across end-to-end customer lifecycle. 

A Day in The Life Typically Includes: 

• Build and lead a data science team (approximately 6) from the ground up, setting vision, operating model, and team structure; with a focus on data science models & tools.
• Recruit, develop, and retain top-tier talent across data science, engineering, and related technical roles.
• Create a culture of experimentation, analytical rigor, and strong business partnership across RevOps, Marketing, Sales, Customer Success, Delivery, IT, and more.
• Identify and prioritize high-ROI use cases spanning demand generation, conversion optimization, customer adoption, retention, pricing, forecasting, and operational efficiency.
• Translate business opportunities into actionable data science projects (e.g., win/loss analytics, churn root-cause analysis, AE/BDR performance insights).
• Deploy enterprise-scale ML systems with robust monitoring, governance, and MLOps infrastructure for rapid, reliable model deployment and decision dashboards.
• Architect scalable ML/AI infrastructure for batch and real-time inference, adopt emerging technologies (LLMs, AutoML, Agentic AI), and set standards for model lifecycle management.
• Influence C-suite decisions with predictive insights, drive organizational data literacy, and represent the company externally through thought leadership.

Basic Qualifications: