Overview
Lead a high‐impact product analytics team in Australia, turning data into actionable insights that guide product strategy and user experience at scale.
Accountabilities
* Lead and manage a team of approximately seven data scientists, ensuring high‐quality delivery of product analytics insights and reporting
* Oversee the timely production of accurate quantitative analysis to support product strategy, feature evaluation, and impact measurement
* Partner with product managers, engineers, and research teams to embed data‐informed decision‐making across product development cycles
* Design and improve experimentation frameworks, measurement systems, and product health metrics to support scalable analysis
* Collaborate with data engineering and experimentation platform teams to build accessible and reliable data products
* Guide the development of dashboards, reports, and visualization tools that improve data accessibility and interpretation
* Mentor team members in statistical thinking, storytelling with data, stakeholder communication, and technical development
* Ensure consistency, rigor, and accuracy in analytical processes, balancing speed with methodological robustness
* Foster a collaborative, inclusive, and high‐performing team culture grounded in trust and accountability
Requirements
* Proven experience in experimental design, statistics, and analysis of large‐scale user or product data
* Prior experience managing or leading a team of data scientists or analysts in a product‐driven environment
* Strong background in product analytics, experimentation frameworks, and user behavior analysis
* Experience working with large‐scale data systems and tools such as Hadoop, Hive, Presto, or Spark
* Ability to translate complex data insights into clear, actionable recommendations for cross‐functional stakeholders
* Strong collaboration skills with product, engineering, and research teams in fast‐paced environments
* Demonstrated commitment to equity, inclusion, and inclusive leadership practices
* Excellent communication, mentoring, and stakeholder management abilities
* Strong critical thinking, curiosity, and ability to operate in ambiguous and complex environments
* Experience with data visualization or experimentation tools such as Superset or GrowthBook is a plus
* Alignment with mission‐driven work and openness to contributing in a collaborative, open knowledge ecosystem
Benefits
* Remote‐first working model with global collaboration flexibility
* Competitive compensation aligned with experience and location
* Opportunity to lead and scale a high‐impact data science team
* Strong emphasis on professional growth, mentorship, and continuous learning
* Inclusive, mission‐driven work environment focused on open knowledge and collaboration
* Exposure to large‐scale product analytics challenges and experimentation systems
* Flexible work structure with meaningful impact on product and user experience
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