About Montu

Montu is Australia’s largest medical cannabis company. With operations in Australia and Europe, we take a technology-first approach to improving the medical cannabis patient experience – whether it’s by delivering best-in-class online clinical care, or through our industry-leading product lines and innovative supply chain management tools.

Montu operates a fully integrated, end-to-end ecosystem of healthcare companies that touches every part of the medical cannabis experience, from patient care through to pharmacy dispensing, clinical education, product development, wholesale distribution and more. 

Recognised by the Deloitte Fast 50 as the fastest growing tech company in Australia for two years running – with revenue growth of over 26,000% and 9,000% – Montu is now the largest business of its kind outside North America.

This role is an Australia-based, fully work-from-home position, with access to co-working spaces in Sydney, Melbourne and Brisbane. 

Are you passionate about leveraging data to drive meaningful insights and strategic decisions? We are seeking a skilled and dedicated Data Scientist to join our dynamic team. In this pivotal role, you will develop and enhance our data infrastructure, focusing on SQL, Python, experimentation, and statistical analysis. Your work will be crucial in creating, evaluating, and deploying data science models that support and enhance our platform, applications, and products.

Day to day responsibilities:

• Data Product Development:

  • Build, validate, and deploy predictive models using SQL and Python.
  • Apply advanced statistical methods to solve complex problems, ensuring data systems are scalable, performant, and reliable.

• A/B Testing:

  • Design, implement, and analyze A/B tests to evaluate changes and drive data-informed decisions.
  • Develop and maintain A/B testing frameworks and methodologies for use across various teams, ensuring consistency and best practices.

• Collaboration and Communication:

  • Engage in proactive collaboration with cross-functional teams and internal stakeholders.
  • Establish and maintain strong working relationships with key stakeholders, ensuring data initiatives align with the company's strategic direction.
  • Clearly and concisely communicate insights to a range of stakeholders.

• Technical Skills:

  • Proficiency in SQL for database querying and management.
  • Advanced knowledge of Python for data analysis and machine learning.
  • Strong understanding of statistical methods and their application.
  • Experience with data visualization tools (e.g., Looker).

• Education:

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a closely related field.

• Role Competencies
  • Analytical Thinking: Ability to analyze complex data sets and derive meaningful insights.
  • Technical Proficiency: Strong command of SQL, Python, statistical analysis, and AWS/GCP.
  • Collaboration: Effective teamwork and communication with cross-functional teams.
  • Adaptability: Willingness to learn and adapt to new tools and technologies.

You will be joining a highly motivated, dynamic team, where your ideas and contribution will be highly valued, and directly influence the direction and progress of the business. 

You will also enjoy:

• Joining an expanding global company in its exciting growth phase
• Unlimited access to the SAGED and Greenhouse learning platforms
• Discounts with over 450 retailers across Australia through the Merit Reward and Recognition platform
• A collaborative, focused and driven culture that rewards high achievers
• Competitive salary and package
• Australia based, fully work from home
• Mental health support through our wellbeing platform Unmind
• Shaping the future of the cannabis industry as it evolves into a multibillion-dollar market

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We are committed to facilitating a barrier-free recruitment process and work environment. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience.