Remote Director of Data Science: Growth & Impact

Smart Financial Decisions Made Simple

United States

Remote

USD 180,000 - 260,000

Full time

14 days+
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Job summary

Forbes Advisor is seeking a Data Science leader to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term growth.

You will lead a growing team of Data Scientists and partner with Engineering, Analytics, Product and Commercial teams to ensure predictive models become production-ready products that drive measurable business impact.

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 deploying ML solutions in cloud environments and working with ML Ops teams.

Responsibilities

  • Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value.
  • Partner with Marketing, Product and Commercial teams to apply Data Science to business problems.
  • Productionise models with reliable deployment, monitoring and retraining strategies.
  • Translate complex modelling into clear commercial recommendations and influence senior stakeholders.
  • Represent Forbes in strategic conversations with technology partners while staying connected to AI, machine learning and marketing science.

Skills

Leading commercial Data Science teams
Predictive analytics
Stakeholder management
Cloud ML deployment
MLOps collaboration

Tools

SQL
Python
ML frameworks

Job description

Forbes Advisor is seeking a Data Science leader to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term growth.

You will lead a growing team of Data Scientists and partner with Engineering, Analytics, Product and Commercial teams to ensure predictive models become production-ready products that drive measurable business impact.

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