Senior Director, Data Science, Spain

hace 2 semanas


Madrid, España Aristocrat A tiempo completo

.Senior Director, Data ScienceAs the Senior Director of Data Science, you will be a transformational leader responsible for guiding and inspiring a talented team of data scientists and machine learning engineers. In this role, you'll drive thought leadership and development of cutting-edge data solutions that enhance gameplay, improve user engagement, and optimize business outcomes. You will be a key partner for cross-functional teams including product management, game operations, and growth, leveraging your data expertise to deliver engaging mobile games as well as industry-leading marketing performance.What You'll Do Key Leadership Responsibilities Visionary Leadership: Define and communicate a clear vision and strategy for data science, ensuring alignment with organizational 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.Stakeholder Partnership: Act as a trusted advisor and thought leader across the organization, particularly with senior executives and cross-functional leaders, advocating for data-driven decision-making and empowering business units to leverage data science insights.Change Management: Lead the adoption of data science practices and continuous improvement, managing agility, ROI, 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.Key Technical Responsibilities Data Science Strategy Best Practices: Drive best practices in A/B testing, predictive modeling, user clustering, and reinforcement learning to continually raise the bar on data science value add.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: Oversee 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.What We're Looking For Qualifications Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, or a related field



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