Data Scientist (with Snowflake Experience) - Day Shift AU

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