Senior Data Science Director
- Visionary Leadership: Define and communicate a clear vision and strategy for data science, ensuring alignment with organisational goals while inspiring your team to innovate and excel.
- Mentorship & Development: Provide ongoing mentorship, coaching, and professional development opportunities to foster growth and enhance team performance. Create a collaborative and high-performance team culture that attracts top talent and encourages long-term career progression.
- Be a trusted advisor to senior executives and cross-functional leaders, advocating for data-driven decisions.
- Change Management: Lead the adoption of data science practices and continuous improvement, managing agility, return on investment, and keeping the company up to date with evolving industry trends.
- Ownership & Accountability: Assume full accountability for the data science function, from project execution to final integration and outcome assessment, ensuring that your team delivers impactful results on time and within scope.
- Data Science Strategy & Best Practices: Drive standard processes in A/B-testing, predictive modelling, user clustering and reinforcement learning, to continually improve on data science value.
- Infrastructure Ownership: Lead the development of data science frameworks, including A/B testing and other data science tooling. Ensuring scalability, accuracy, and reliability across projects.
- Product & Engineering Collaboration: Supervise integration of data science solutions into games and platforms, partnering closely with product and engineering to ensure end-to-end solution success.
- Growth & Marketing Innovation: Collaborate with growth and marketing teams to develop advanced prediction models that support a dynamic, high-performance marketing landscape.
- Insight Communication: Translate complex analytical insights into actionable recommendations, presenting them to the senior leadership team to inform critical business decisions.
- Proven expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics.
- Experience in reinforcement learning and Agentic systems would be ideal
- Experience in ML Ops and deploying machine learning models at scale.
- Proficiency in Python or R, and familiarity with big data technologies (e.g., Hadoop, Kafka) and/or cloud platforms (e.g., GCP or Azure).
- Industry Knowledge: Experience in gaming or digital entertainment is a strong plus.
- Communication & Influence: Exceptional communication and interpersonal skills, with the ability to inspire and influence collaborators at all levels of the organization, from junior analysts to executive leadership.
Up to 25% Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
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