Note: The job is a remote job and is open to candidates in USA. Forbes Advisor is dedicated to helping readers make informed decisions, and they are seeking a Director of Data Science to lead their Data Science function. This role involves building predictive models to enhance customer acquisition and marketing performance while leading a team of Data Scientists and collaborating with various departments to ensure models drive commercial outcomes.
Responsibilities
- Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes
- Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta
- Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle
- Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth
- Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading
Skills
- 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
- 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
Company Overview