Lead the future of data-driven innovation by guiding a multidisciplinary team of data scientists, machine learning engineers, and Generative AI developers. In this role, you'll ensure technical excellence across analytics initiatives, from forecasting and statistical modeling to large-scale deployment of AI solutions. Your leadership will be central to building robust, scalable systems that deliver measurable business impact.
Key Responsibilities
- Direct and mentor a high-performing, global team, supporting professional growth through coaching, feedback, and structured development plans.
- Oversee the design and implementation of CI/CD pipelines, ensuring rigorous quality control and alignment with agile development practices.
- Apply advanced machine learning, regression analysis, and statistical methods to solve complex business problems and drive experimentation.
- Translate technical findings into clear insights for stakeholders, bridging the gap between data science and strategic decision-making.
- Champion best practices in coding, model development, and deployment, ensuring compliance with data governance and ethical standards.
- Collaborate with cross-functional squads and business units to prioritize analytics roadmaps and integrate solutions into core platforms.
- Monitor KPIs and performance metrics to evaluate the effectiveness of data science initiatives and guide continuous improvement.
- Stay current with emerging technologies and industry trends, assessing their applicability to enhance organizational capabilities.
Qualifications and Experience
Candidates should hold a Bachelor’s degree in Computer Science, Statistics, or a related technical field, with at least seven years of leadership experience in global digital programs. Proven ability to manage diverse, multicultural teams across geographies is essential. You must have deep expertise in machine learning algorithms, data science frameworks like CRISP-DM and Agile, and hands-on experience with tools including Python, SQL, AWS, Datab游戏副本
