Director of Data Science - AI, Search & Personalization (Equity)

Forsyth Barnes Consultancy; Atlanta (GA); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Forsyth Barnes Consultancy is seeking a Director of Data Science to lead a 20–25 person Data Science team and steer the strategy for Search, Recommendations and AI-driven customer experiences. The role partners with senior Product, Engineering and Commercial leaders to deliver measurable business impact in a large consumer organization.

Based in Atlanta with office-based work, you will own the end-to-end ML lifecycle from research to production, drive innovation in information retrieval and

Qualifications

• Proven experience as a Director of Data Science or equivalent leading large teams.
• Strong foundations in ML, statistical modeling, deep learning, NLP and LLMs.
• Experience in e-commerce, consumer technology or ML-heavy environments.
• Track record of delivering measurable commercial outcomes.
• Excellent executive stakeholder management and communication.

Responsibilities

• Lead and develop a Data Science org of 20–25 professionals.
• Define strategy for Search, Recommendations, Personalization and AI experiences.
• Drive innovation across ML, information retrieval, ranking and LLMs.
• Partner with Product, Engineering and Commercial teams to deliver impact.
• Oversee ML lifecycle from development to production deployment.
• Build capability and culture of innovation and high performance.

Skills

Data Science leadership

Machine Learning

Statistical modeling

Deep Learning

NLP

LLMs

Executive communication

Job description

Forsyth Barnes Consultancy is seeking a Director of Data Science to lead a 20–25 person Data Science team and steer the strategy for Search, Recommendations and AI-driven customer experiences. The role partners with senior Product, Engineering and Commercial leaders to deliver measurable business impact in a large consumer organization.

Based in Atlanta with office-based work, you will own the end-to-end ML lifecycle from research to production, drive innovation in information retrieval and