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About SEEK
At SEEK, we work with heart. Our purpose is to help people live more fulfilling and
productive working lives and help organisations succeed. We make a positive impact on a
truly global scale and our world-class technology solutions connect more people to relevant
employment and education opportunities. The work we do impacts people’s lives when it
matters.
We value and celebrate the diversity of our employees who rise to the challenge to
contribute to the success of our organisation. It’s a fast-paced and supportive environment
where everyone is passionate about our common purpose and where our people can create
enriching and exciting careers. Our future potential is your opportunity.
‘Our SEEK’
At SEEK our biggest asset is our people, and we are proud of our community of valued,
talented and diverse individuals who really know their stuff. Our culture statement, Our
SEEK, is all about what makes SEEK unique and a little bit different. Our SEEK clearly outlines
the Principles and the Behaviours of our best people, which include:
• Passion: we are passionate about SEEK, our purpose, our customers and our community
• Team: we care about each other and collaborate to achieve together
• Delivery: we execute with excellence and achieve great results
• Future: we think and act for the long term
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
Essential Qualifications, Skills and Experience
- Bachelor’s degree in a quantitative field (e.g. Mathematics, Statistics, Computer Science)
- Solid SQL skills and familiarity with a distributed processing framework (Spark or similar)
- Working knowledge of Python for data analysis and modelling
- Understanding of core ML concepts (classification, ranking, recommendation)
- Exposure to NLP techniques (information extraction, semantic similarity)
- Experience with an object orientated programming language, preferably Python, with experience writing production level code
- Familiarity in code testing and CI/CD pipelines
- Strong communication skills with the ability to explain technical ideas clearly
- Curiosity and ability to learn quickly in a rapidly changing environment
Other Qualifications, Skills and Experience
- Internship or project experience with AWS services (S3, EC2, EMR)
- Hands-on with Deep Learning frameworks (e.g. Transformers)
- Familiarity with large-language models and scalable data architectures
- Experience working with datasets larger than can fit in memory
At SEEK we offer:
- Annual Performance Bonus Plan
- Paid and unpaid leave benefits including Personal Flexi Days and Volunteer Days, as well as the opportunity to purchase additional leave
- Support for parents with 14 weeks paid primary carers leave and 2 weeks paid leave for partners
- SEEK is committed to operating sustainably, certified carbon neutral for its business operations (through Climate Active), purchasing renewable energy for our office and working-from-home emissions and a target for net zero by 2030.
- The opportunity to work from anywhere for up to 4 weeks per financial year
At SEEK, we are passionate about fostering a culture of inclusion and wellbeing that embraces and values the diversity of our people. We are a purpose driven business that works with heart.
We know teams with diverse ideas, experiences and perspectives are more creative and are critical to ensuring effective delivery and innovating to enable our future success. As such, we welcome applications from people with diverse backgrounds and life experiences, especially as they relate to gender, sexual identity, culture, faith, disability and life stages. If you have the skills, curiosity and an adaptable mindset but don't meet every responsibility or qualification listed in this advertisement, please still get in touch with us.
Should you require any specific support or adjustments throughout the recruitment process and beyond, please advise us and we will be happy to assist.
For this role, only those candidates with the eligible right to work will be considered.
SEEK kindly requests no unsolicited resumes or approaches from recruitment agencies and will not be responsible for any associated fees.
