Data Scientist (with Snowflake Experience) - Day Shift AU
Summary
The Data Scientist will collect and analyze complex datasets to build predictive models and machine learning algorithms. The role requires strong proficiency in Python, SQL, and at least two years of commercial experience with Snowflake.
About the Role:
The Data Scientist is responsible for collecting, analyzing, and interpreting large and complex datasets to help the organization make data-driven decisions. This role will design predictive models, develop algorithms, and provide actionable insights that support strategic and operational goals.
Key Responsibilities:
- Collect, clean, and preprocess structured and unstructured data from multiple sources.
- Develop and implement statistical models, machine learning algorithms, and predictive analytics solutions.
- Interpret data, analyze results, and generate insights that influence decision-making.
- Create data visualizations, dashboards, and reports to effectively communicate findings to technical and non-technical stakeholders.
- Collaborate with cross-functional teams (engineering, product, business) to translate business problems into data solutions.
- Ensure data accuracy, integrity, and security while working with sensitive information.
- Stay updated with industry trends, tools, and best practices in data science, machine learning, and AI.
Key Qualifications & Skills:
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Master's preferred).
- Proven experience as a Data Scientist or in a similar role.
- Proven commercial experience (2+ years) using Snowflake is required, including deployment, database change management, data connectors, building efficient ELT pipelines for large datasets, and data sharing techniques in a Snowflake context.
- Strong proficiency in statistical tools and programming languages (Python, R, SQL).
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn).
- Familiarity with cloud platforms (AWS, GCP, Azure) is an advantage.
- Excellent analytical, problem-solving, and communication skills.
Work experience required:
- Have 3-5+ years working as a team member in delivery projects or initiatives leveraging Agile delivery practices, ideally with Product company experience.
- Have experience of working within a complex, matrixed/helix model organization Formal Scrum
- Master experience would be a bonus
- An Agile certification would be a bonus
MS Office applications proficiency required / desired:
- 10/10