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 have familiarity with the software development life cycle and data engineering principles. You are comfortable with data manipulation, building and maintaining data pipelines, and integrating with the experimentation platform. You have the ability to collaborate closely with engineering teams, leveraging their support to manage the end-to-end process of implementing and optimizing experiments. You are also a self-starter who has a strong grasp of statistical concepts and the ability to succinctly explain those concepts to non-technical audiences.

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 engineers to improve and automate data collection and testing framework
• Work with guidance from senior colleagues to devise techniques and frameworks to ensure automated algorithms optimisation
• Assist in driving continuous improvement of experimentation framework in scale, languages, speed of experiment and quality of insight by choosing appropriate techniques

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 Data Science, Engineering, Statistics or a discipline that makes substantial use of these disciplines. (e.g. Bioinformatics)
• Experience with data pipeline technologies, demonstrating the ability to design, implement, and maintain efficient and scalable data processing workflows
• Strong Python and SQL skills, with experience in Databricks and PySpark highly desirable
• Foundational knowledge of hypothesis testing and associated statistical techniques
• 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