About the role: In this key role, you'll enhance our data infrastructure, focusing on SQL, Python, experimentation, and statistical analysis. Your contributions will be essential in developing and deploying data science models that bolster our platform, applications, and products.

Responsibilities:

• Create, validate, and deploy predictive models using SQL and Python.
• Utilize advanced statistical methods to address complex challenges, ensuring our data systems are scalable, efficient, and reliable.
• Design, execute, and analyze A/B tests to assess changes and support data-driven decisions.
• Develop and uphold A/B testing frameworks and methodologies across teams.
• Collaborate proactively with cross-functional teams and internal stakeholders.
• Build and maintain strong relationships to align data initiatives with company goals.
• Communicate insights clearly to various stakeholders.

Qualifications:

• Proficiency in SQL for database querying and management.
• Advanced expertise in Python for data analysis and machine learning.
• Strong grasp of statistical methods and their applications.
• Experience with data visualization tools.

Education:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a 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.

Benefits:

• Being part of a rapidly growing global company.
• A collaborative, driven culture that rewards high achievers.
• Competitive salary and benefits package.
• Fully remote work based in Australia.