PMG is seeking a Head of Data Science to lead AI-driven innovation and turn analytics into meaningful business and marketing outcomes.
Requirements
- Deep expertise in machine learning, causal inference, and statistical modeling using Python, R, and advanced analytics frameworks
- Strong fluency in experimentation design, forecasting, and measurement strategies to guide product and business decision-making
- Skilled in collaborating with engineering and data platform teams to build scalable data infrastructure and production-ready modeling pipelines
- Experience with federated learning, large-scale reinforcement learning, advanced knowledge graphs
- Strong proficiency in Python, R, and advanced analytics frameworks
- Experience with AI/ML tools and technologies, such as TensorFlow, PyTorch, Scikit-learn
- Experience with data science-focused Python libraries, such as Pandas, NumPy, Matplotlib
Responsibilities
- Develops and champions the long-term strategic vision and execution roadmap for a broad data science organization
- Directs the incubation, scaling, and enterprise-wide adoption of cutting-edge AI/ML capabilities
- Oversees the most critical and complex AI/ML programs, ensuring they deliver transformative business outcomes
- Stay current with emerging data science–focused Python libraries and apply them effectively to develop models and business-impactful solutions
- Collaborate with engineering and data platform teams to build scalable data infrastructure and production-ready modeling pipelines
- Develop predictive models, develop automation, and refine AI-driven solutions that help brands optimize performance, personalize experiences, and maximize impact across digital channels
- Train machine learning models, engineer scalable data pipelines, fine-tune optimization algorithms, and advance AI-driven marketing strategies
Other
- 20+ years of experience in data science, including 10+ years of leadership experience, with a bachelor’s degree or equivalent work experience
- Proven ability to lead and scale data science programs across complex organizations, translating strategic objectives into high-impact analytical initiatives
- Track record of influencing executive stakeholders through clear communication, analytical storytelling, and evidence-based insights
- Experienced in building inclusive, high-performing teams, and mentoring data science leaders to foster innovation, growth, and consistency
- A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value
- A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by Leading by Example and nurturing strong relationships that empower others to excel
