Senior Data Science Leadership Position

2 weeks ago

Melbourne, Victoria, Australia beBeeData Full time $150,000 - $170,000
Lead Data Science Chapter

We are seeking an experienced leader to oversee our data science chapter. As a lead, you will be responsible for the technical and professional development of the team, ensuring they have the skills and resources to deliver high-quality, impactful work.

You will play a critical role in shaping our enterprise-wide AI strategy, working closely with senior leadership to identify and prioritize opportunities across various business domains.

This is a unique opportunity to mature our data science practice alongside a cloud native transformation while leading an incredibly talented team directly influencing global initiatives.

  • Build, mentor, and coach a team of data scientists, fostering a culture of curiosity and continuous learning.
  • Actively contribute to our global enterprise AI strategy, collaborating with product and technology teams to drive the regional roadmap for exploration and adoption.
  • Own the technical direction for the data science chapter, embedding industry best practices into the organization and ensuring the team builds the best solutions.
  • Work closely with other data and analytics functions to deliver end-to-end solutions, ranging from BAU activities to complex data transformation projects.

To succeed in this role, you will need:

  • A demonstrated record of building, mentoring, and developing data science teams in a corporate environment.
  • 10+ years of experience with a solid understanding of data science industry best practices, model building, and a passion for staying up-to-date with new advancements.
  • The ability to understand business drivers and align technical strategy to achieve them, balancing technical excellence with business outcomes.
  • Extensive experience working effectively with other data & analytics, product, and technology functions to deliver cohesive, end-to-end solutions.

Preferred qualifications include:

  • Experience with GCP and working with globally distributed teams and stakeholders.
  • Experience productionizing agile model monitoring or leading data science solutions that impact complex customer groups.

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