Data Scientist

The Team

The Candidate Quality team consists of Data Scientists AI Engineers and Product Managers operating as a specialized unit within SEEKs 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 a Data Scientist at SEEK youll be part of a fast-paced supportive environment where you can make a real difference. Youll work on complex challenges that have a direct impact on peoples 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

• Forming clear data addressable problem statements related to candidate-job matching and  qualification identification
• Gathering validating and understanding data relevant to job requirements and candidate qualifications
• Designing and building data transformation pipelines and machine learning algorithms to improve matching accuracy and relevance
• Working with product management and other business stakeholders to review and iterate data products to better serve both hirers and job seekers
• Developing models that can effectively identify and highlight relevant skills and qualifications from  unstructured text data
• Evangelising appropriate ML methods and explaining them and their associated benefits and limitations to team members from Engineering and Strategy.

Qualifications :

Essential Qualifications Skills and Experience

• Post graduate qualification in a quantitative field (e.g. Physics Mathematics Bioinformatics Computer Science)
• Advanced data extraction and processing skills using SQL Spark etc
• Familiarity with S3 EC2 and/or EMR in AWS
• Deep knowledge of machine learning algorithms focused on classification ranking and recommendation systems
• Experience with NLP particularly information extraction and semantic similarity
• Able to write serviceable code (e.g. Python Scala) and comfortable working with and around a professional software development team
• Good communication and interpersonal skills with the ability to communicate complex technical concepts to business key decision makers and product owners
• Ability to adapt quickly and thrive in an ambiguous and rapidly changing environment

Other Qualifications Skills and Experience

• Experience with Deep Learning (particularly Transformers and other modern NLP architectures)
• Experience with large language models and their application to information extraction
• Track record in working independently within an agile team environment scoping work making and keeping commitments to deliver against a shared agenda
• Experience working with datasets which do not fit within memory on a single machine
• Experience developing systems that operate at scale in production environments

Additional Information :

Permanent Perks
At SEEK we offer:

• Annual Performance Bonus Plan
• Support of flexible working including a mix of office and work from home days depending on your role.
• 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 and is preparing for the impacts of climate change and the transition to a low-carbon future and is working to minimise its environmental impacts which includes a long-term emissions reduction target of net zero by FY2050
• The opportunity to work from anywhere for up to 4 weeks per financial year
• SEEKer Support a confidential service that offers employees up to six sessions with a mental health professional of your choice
• Tailored career development planning (including Education Assistance Program)
• Professional development sessions with industry leading guest speakers
• Free income protection insurance
• Access to a wide range of discounts on things such as health insurance fitness food travel accommodation plus many more
• Frequent events including sports days annual Christmas party hackathon and trivia
• Free kick-start breakfast every morning and fresh fruit available all day in our offices
• Casual dress every day

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 dont 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.

Remote Work :

No

Employment Type :

Full-time