Director of Data Science New York (Hybrid) | $240,000 - $300,000 + Bonus + Benefits
This is an opportunity to shape the future of enterprise Data Science within a large-scale, data-rich organisation undergoing significant AI and analytics transformation. You will lead a high-performing team, influence strategic decision-making at the highest level, and drive the development of advanced machine learning and AI solutions that deliver measurable business impact.
They are a well-established organisation with a strong commitment to innovation, data-driven decision-making, and digital transformation. Operating at enterprise scale, they are investing heavily in AI, machine learning, and advanced analytics to improve outcomes across multiple business functions.
With a collaborative and technology-focused environment, they empower teams to solve complex challenges using modern data capabilities. As Director of Data Science, you will be responsible for defining and delivering the organisation's data science strategy while leading a team of highly skilled practitioners.
Develop and execute the enterprise data science roadmap aligned to strategic business priorities.
- Lead teams delivering predictive modelling, machine learning, optimisation, forecasting, experimentation, and AI-driven solutions.
- Partner with Product, Engineering, Data, and business stakeholders to identify high-value opportunities and translate them into scalable solutions.
- Drive adoption of modern machine learning and AI methodologies while ensuring appropriate risk management and responsible AI principles.
- Oversee experimentation frameworks, performance measurement, and model evaluation approaches.
- Act as a trusted advisor to senior stakeholders, helping shape strategy through data-driven insights.
- Build, mentor, and develop a high-performing Data Science team and culture.
Strong commercial experience leading Data Science, Machine Learning, or Advanced Analytics functions.
- Deep expertise in statistical modelling, predictive analytics, machine learning, experimentation, optimisation, and decision science.
- Strong experience developing and scaling production-grade data science solutions.
- Advanced proficiency with Python, SQL, and modern machine learning tools and frameworks.
- Experience building team capability, coaching talent, and driving delivery within a fast-paced environment.
- Understanding of AI governance, model monitoring, and responsible AI frameworks.
Performance-related bonus.
- Hybrid working environment.
- Opportunity to lead enterprise-scale AI and Data Science initiatives.
- If you are an experienced Data Science leader looking to drive large-scale AI and analytics transformation, please apply today to learn more about this opportunity.
