Job Description
The Team
You’ll join the Search team within SEEK’s AIPS group, working alongside data scientists, software engineers, and product managers who are part of the larger Artificial Intelligence & Analytics organization. The team operates on quarterly planning cycles and maintains a collaborative culture through weekly stand-ups, knowledge sharing sessions, monthly retrospectives, and project-specific meetings.
What You’ll Do
Business Impact & Collaboration
- Collaborate with AI Product Managers, Software Engineers and fellow Data Scientists to solve business challenges and align projects with strategic goals
- Design, develop, and test new solutions that improve the job search experience for millions of users
- Work within quarterly planning cycles to develop roadmaps focused on R&D for optimal job matching
Model Development & Innovation
- Create and enhance models to improve candidate/job matching for search and recommendations
- Perform feature engineering and hyperparameter tuning to optimize model performance
- Contribute to the design and implementation of search systems that operate at global scale
Performance & Validation
- Ensure models meet business objectives through comprehensive online and offline testing, including A/B tests
- Perform offline evaluation of search systems and contribute to online experiment design
- Implement ongoing monitoring to maintain model performance and identify improvement opportunities
Data-Driven Insights
- Collect, validate, and analyze data to identify challenges and opportunities for improving search and recommendation capabilities
- Translate complex data insights into actionable recommendations for product and engineering teams
- Support evidence-based decision making across the Search team
Qualifications
Technical Skills
- Strong foundation in machine learning, statistics, and data analysis
- A Masters or PhD qualification in Computer Science, Data Science, Mathematics, Statistics, or other quantitative field
- Experience with model development, feature engineering, and performance optimization
- Proficiency in programming languages commonly used in data science (Python, R, SQL)
- Understanding of search systems, recommendation engines, or related AI/ML applications
- Experience with A/B testing and experimental design
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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