Senior Data Scientist

Service Stream

Service Stream, a leading ASX-listed business, operates essential services networks across various industries in Australia. The newly created Senior Data Scientist role in Melbourne offers a chance to collaborate with stakeholders and contributes to vital data projects. The role exists to enhance data analytics capabilities and drive business insights.

In this role you can expect to have the responsibilities:

• Develop and deploy machine learning models for anomaly detection, focusing on claims data.
• Implement computer vision solutions for image classification and duplicate detection.
• Use Amazon Redshift for data processing and analysis.
• Deploy machine learning models using AWS SageMaker and integrate outputs with source systems.
• Collaborate with stakeholders, data analysts, and engineers to deploy AI/ML solutions.
• Automate data pipelines and optimize model performance for scalability.
• Create dashboards and reports in Power BI to visualize insights.

This role comes with the following benefits:

• Flexible working arrangements.
• Career development opportunities.
• Employee discounts and rewards program.
• Variety of paid leave options.
• A culture centered on diversity and inclusion.

This role requires you to have:

• 5+ years in data science, machine learning, or AI development.
• Experience in developing and deploying machine learning models.
• Mastery of Python for various data tasks.
• Proficiency in frameworks like Pandas, NumPy, and Scikit-learn.
• Excellent communication skills.
• Bachelor's degree in Data Science, Computer Science, Mathematics, or Statistics.

You would benefit from having:

• Expertise in computer vision techniques such as OpenCV or YOLO.

Service Stream is committed to diversity and encourages applications from individuals of varied backgrounds including Aboriginal and Torres Strait Islander people, those with disabilities, and LGBTIQA+ community members. They offer support for reasonable adjustments in the recruitment process.