Transformative Data Innovator

1 week ago

Melbourne, Victoria, Australia beBeeData Full time $120,000 - $150,000

About Us

We're a leading technology company that's making a positive impact on a global scale.

Our purpose is to help people live more fulfilling and productive working lives and help organisations succeed.

We create innovative solutions to connect people with relevant employment, education, small business and volunteer opportunities.

LIFE AT OUR COMPANY

Our purpose is at the centre of everything we do. Our guiding principles drive innovation and creativity.

We strive to support employee wellbeing by providing an amazing experience at work which led us to being named a top workplace in technology.

We are proud to work in an environment that's inclusive where everyone's unique ideas, experiences and perspectives are valued.

The Job Description: About the Role

You'll collaborate with experts to solve complex challenges and drive meaningful outcomes in search and recommendations for job seekers across our global platforms.

As a Data Scientist, you'll work with product managers, designers, engineers, and data scientists to design and implement intelligent matching systems that connect the right candidates with the right opportunities.

You'll 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.

Working within quarterly planning cycles, you will develop roadmaps focused on R&D for optimal job matching. Create and enhance models to improve candidate/job matching for search and recommendations.

Perform feature engineering and hyperparameter tuning to optimise model performance. Contribute to the design and implementation of search systems that operate at global scale.

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 analyse 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.

A Strong foundation in machine learning, statistics, and data analysis. A Master's or PhD in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field.

Familiarity with ranking algorithms or personalisation techniques. Experience in A/B testing, experimental design, and evaluating model performance offline and online.

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