Data Scientist
at Montu
Melbourne, Victoria, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 Aug, 2024 | Not Specified | 27 May, 2024 | N/A | Statistics,Python,Computer Science,Data Science,Data Analysis,Technical Proficiency,Sql,Machine Learning,Collaboration | No | No |
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Description:
ABOUT MONTU
Montu is a leading Australian medical cannabis company facilitating efficient patient access to life-changing medication. We have built a technically focused cannabis ecosystem, which streamlines the experience for patients end-to-end, and sets new standards in cannabis care.
Recently recognised as No.1 in the Deloitte Tech Fast 50, No.5 in the AFR Fast Starters, and following two record-breaking investment rounds, Montu is in a hyper growth phase and actively looking to expand the team to take the company to the next level. Join us on our mission to improve the lives of millions of patients with medical cannabis therapies.
Job Description
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.
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
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.
Qualifications
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.
Additional Information
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
LI-LL1
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
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science, Statistics
Proficient
1
Melbourne VIC, Australia