Experimentation Data Scientist

The Role

Working with highly motivated product teams and reporting within a dedicated team of Experimentation data scientists, you will be responsible for understanding the value drivers of our key global services/products, assessing their performance and identifying improvement opportunities through detailed analysis and the design, running and interpretation of experiments.

The ideal candidate is a great collaborator who has strong interpersonal and stakeholder management skills. You are a self-starter who has a strong grasp of statistical concepts and the ability to succinctly explain those concepts to non-technical audiences.

Equally, you are comfortable in ambiguous situations and can determine and apply appropriate analytical techniques and processes to problems.

As the leading employment marketplace in APAC, we believe we offer a unique value proposition to purpose-driven candidates for a role of this nature: the product innovation and marketplace improvements that you help SEEK to measure and evaluate will translate to millions of additional people finding jobs that they otherwise may not have found. We believe few other companies offer the opportunity to make such a tangible and positive difference at this scale.

Responsibilities

Understanding Service/Product value drivers:

• Develop knowledge of use cases, user behaviours & segmentation and service mechanics (algorithms and models) across our SEEK Group partner sites and countries

Run experiments and support the improvement of the experiment framework:

• Work with guidance from senior colleagues to devise techniques and frameworks to ensure automated algorithms optimisation (multi-arm bandits and similar)
• Assist in driving continuous improvement of experimentation framework in scale, languages, speed of experiment and quality of insight by choosing appropriate techniques (A/B testing, interleaving, Bayesian methods)
• Work with engineers to improve and automate data collection and testing framework

Analyse experiments and drive product improvement:

• Design experiments that appropriately address hypotheses and will lead to trustworthy learning.
• Test hypotheses and analyse results, segmenting where required to surface insights from experiments
• Articulate findings and communicate recommendations back to the senior team and business stakeholders

Requirements

Skills and experience

• Background in Statistics and/or Data Science, or a discipline that makes substantial use of these disciplines. (e.g. Bioinformatics)
• Experience in experimental design and research methodologies with a knowledge of hypothesis testing and associated statistical techniques. Experience with causal inference would be well regarded.
• Advanced analytical and problem-solving skills
• Developing (or demonstrating) the ability to translate and present data in a concise and meaningful way to stakeholders
• Proven ability to independently work with various stakeholder groups – data science, engineering, business stakeholders
• Experience working on large and complex data sets
• Advanced SQL
• Programming skills (Python, R or equivalent)