Director of Data Science (Remote)
RemoteNew Mexico, United States
Job Summary
Lead strategy and delivery of predictive models for customer acquisition, marketing performance, and long-term commercial value, including lifetime value, propensity, and forecasting. Partner with Engineering, Product, and Commercial teams to apply analytics and AI to real business problems, ensuring models become reliable, production-ready products with scalable deployment and continuous monitoring. Build and develop a team of Data Scientists while translating complex modeling into clear commercial recommendations for senior stakeholders. Represent the organization in strategic conversations with technology partners like Google and Meta to evaluate emerging AI and machine learning technologies.
Required Qualifications
- Experience leading commercial Data Science, Marketing Science or Decision Science teams.
- Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
- Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
- Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
- Strong understanding of SQL, Python and modern machine learning frameworks.
- Experience working with Google Ads, Meta or other major advertising platforms.
- Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
- Experience building and developing high-performing Data Science teams.
- Strong commercial judgement, balancing technical excellence with measurable business impact.
- A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.
Desired Qualifications
- Experience within affiliate marketing, digital publishing or lead-generation businesses.
- Experience working in financial services, insurance or regulated industries.
- Experience working directly with Google or Meta Data Science teams.
- Experience with attribution modelling and marketing measurement.
- Experience building optimisation algorithms for DSPs or advertising platforms.
- Experience with causal inference, experimentation frameworks or incrementality testing.
- Experience forecasting marketing or commercial performance.
- Experience with Vertex AI or equivalent cloud-based machine learning platforms.
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