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Data Scientist Career

2 weeks ago

Melbourne, Victoria, Australia beBeeCareer Full time $98,765 - $123,456
Senior Data Scientist

Our team is responsible for shaping how candidates interact with our products.

We strive to create world-class technology solutions that connect people to relevant employment, education, small business and volunteer opportunities.

Our culture is built around high-performance in our workplaces and we celebrate the diversity of our employees who contribute to our success.

Life at our workplace is driven by our principles of Innovation, Collaboration, Delivery, and Future, which define the way we work.

These principles drive creativity and innovation.

We are committed to supporting employee wellbeing by providing an amazing experience at work.

The Role

As a Senior Data Scientist, you'll take ownership of end-to-end solutions from problem definition to deployment.

You'll work on some of our most impactful challenges, such as deep candidate representations, personalising user experiences, and delivering adaptive, data-driven content across our platforms.

You'll collaborate closely with AI Engineers, Product Managers, Designers, and fellow Data Scientists, while also mentoring and guiding less experienced team members.

This role is ideal for someone who thrives on autonomy, loves solving ambiguous problems, and is passionate about both technical excellence and product impact.

Responsibilities
  • Lead cross-functional initiatives to solve complex personalisation challenges aligned with our strategic objectives.
  • Collaborate closely with AI Product Managers, Software Engineers, and other Data Scientists to develop scalable and impactful solutions.
  • Take ownership of roadmap planning and technical direction for personalisation initiatives.
  • Influence the broader team through thought leadership, structured experimentation, and strong stakeholder engagement.
  • Design, build, and deploy machine learning models for large-scale personalisation systems.
  • Apply advanced techniques in model tuning, ranking, and system design to deliver measurable user and business outcomes.
  • Design and execute rigorous evaluation strategies, including offline metrics, A/B tests, and long-term performance monitoring.
Requirements
  • 5+ years of experience in data science, machine learning, or applied AI roles.
  • Proven ability to lead the development and deployment of production-grade ML models.
  • Strong background in machine learning, statistics, and data analysis.
  • A Masters or Ph D in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field.
  • Proficiency in Python, SQL, and data science libraries such as Pandas, Scikit-learn, Tensor Flow or Py Torch.