Vice President, Data Science
Listed on 2026-03-04
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IT/Tech
AI Engineer, Data Science Manager
Onsite, 5x per week
* please do not apply if you are not comfortable with this working arrangement
New opening for a VP of Data Science to lead and scale their in-house analytics capabilities. This is a high-impact role, driving advanced analytics, machine learning, and Generative AI across multiple portfolio brands to support smarter investment decisions and profitable growth.
The Role VP of Data ScienceLocation: Atlanta, GA (in-office)
Lead the Data Science function: team development, technical direction, model standards, and project delivery.
Define and execute the long-term vision for analytics, AI/ML, and GenAI across the organization.
Build predictive, scalable, and production-ready models that directly influence commercial and operational outcomes.
Partner with investment and portfolio teams to apply data science across consumer, retail, and multi-unit businesses.
Recruit, mentor, and grow a high-performing team of data scientists and analytics professionals.
10+ years applying data science to business decision-making, with strong experience in Python, SQL, and cloud platforms (GCP preferred).
Proven ability to lead technical teams, manage multiple initiatives, and influence senior stakeholders.
Deep expertise in statistical modeling, machine learning, causal inference, experiment design, and analytics infrastructure.
Experience deploying repeatable models in production to deliver measurable business impact.
Strong communication and business acumen; able to translate complex analytics into actionable insights.
MBA, Master's, or PhD in a quantitative discipline.
Experience with multi-brand organizations or consulting frameworks.
Background in consumer, retail, or services sectors.
Hands‑on experience with MLOps, model lifecycle management, and GenAI productivity tools.
Lead enterprise-level analytics and AI across a diverse, high-performing portfolio.
Build and scale a world‑class Data Science function from strategy to execution.
Work in a fast‑paced, entrepreneurial environment with broad exposure to multiple brands and business challenges.
Must be authorized to work in the U.S. without sponsorship.
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