Full-Time Data Scientist
Montu is hiring a remote Full-Time Data Scientist. The career level for this job opening is Expert and is accepting Australia based applicants remotely. Read complete job description before applying.
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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.