Data Scientist - Search

The Team

The AIPS team is structured into small, cross-disciplinary, autonomous teams of 8-20 people who research, design, develop and support ML data driven products to support the business needs of one or more of SEEK’s 18 global business units.

About the role

As a Data Scientist at SEEK, you'll be at the forefront of developing AI systems that transform the job search experience. You'll work with a diverse team of experts to solve complex challenges and drive meaningful outcomes. If you thrive on solving ambiguous problems and enjoy working with smart, motivated peers, this is the role for you.

Responsibilities

• Solve Business Challenges: Collaborate with AI Product Managers, Software Engineers and fellow Data Scientists to solve business challenges, align projects with business goals, and design, develop, and test new solutions.
• Model Development: Create models to improve candidate/job matching, including feature engineering and hyperparameter tuning.
• Performance Validation: Ensure models meet business objectives through both online and offline tests (including A/B tests), along with ongoing monitoring.
• Data Analysis: Collect, validate, and analyse data to identify challenges and opportunities for improving future search/recommendation capabilities.
• Communication: Communicate findings and insights with other team members to continue upskilling and enhancing the team's knowledge and capabilities.
• Innovate: Stay updated on data science trends, finding opportunities to adapt and incorporate innovative techniques.

Essential Experience, Skills and Competencies

• Strong data extraction and processing skills using SQL and Python.
• Familiarity with building, optimising and deploying machine learning models to deliver business value.
• Good spoken and written English communication skills.
• Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field OR equivalent experience.

Desirable Experience, Skills and Competencies

• 2+ years of commercial experience in data-driven products.
• Solid understanding of diverse NLP approaches (e.g. NER, embeddings, transformer models).
• Information retrieval expertise, with knowledge of concepts such as NDCG, learn to rank and collaborative filtering.
• Experience with deep learning libraries, including PyTorch and huggingface transformers.
• Familiarity with Databricks and/or AWS services such as EC2, S3, and Bedrock.
• Experience using foundation language models (such as ChatGPT or Claude) to label data and evaluate correctness of model outputs.
• Project management and agile practices.

Perks and benefits

At SEEK we offer:

• Support of flexible working, including a mix of office and work from home days depending on your role
• A commitment to operating sustainably, a certified carbon neutral business operation, with the target of 100% renewable energy by 2025, and net zero by 2030
• Frequent events including sports days, year-end party, hackathon, and trivia

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 with 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.