Associate Data Scientist

2 weeks ago

Cremorne, Australia SEEK Full time $90,000 - $120,000 per year

The Team

The Candidate Quality team consists of Data Scientists, AI Engineers, and Product
Managers, operating as a specialized unit within SEEK's broader Artificial Intelligence &
Analytics division. We follow a quarterly planning cycle in pursuit of our mission: helping
hirers connect with quality candidates. Our work encompasses developing machine
learning models for candidate quality scoring, leveraging AI to enhance role requirements,
selection criteria, and candidate matching, and supporting candidate discovery.

The Role

As an Associate Data Scientist at SEEK, you'll be part of a fast-paced, supportive
environment where you can make a real difference. You'll work on complex challenges that
have a direct impact on people's lives, helping us evolve our business and reach new
heights.

Successful performance in this role will be demonstrated through the business value
contributed by developed and supported products. Further, the successful candidate will
be expected to stay up to date with emerging techniques in natural language processing
and machine learning, and be deeply involved in a culture of continual improvement.

This role will report to a Senior Data Scientist / Principal Data Scientist within AIPS. AIPS has
a matrix structure where your direct line manager will act as a coach and technical mentor
but your day-to-day activity will be determined by the squad priorities.

Key Responsibilities

  • Assist in framing data-addressable problem statements for candidate–job matching
  • Perform exploratory data analysis and help prepare datasets for modelling
  • Contribute to building and testing data transformation pipelines and baseline ML
    algorithms
  • Collaborate with Engineers and Product Managers to iterate on data products
  • Assist in developing models that can effectively identify and highlight relevant skills
    and qualifications from unstructured text data
  • Document methods, results and code to ensure reproducibility
  • Share learnings and raise questions to drive continual improvement

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