
Hiring Process Optimizer
11 hours ago
We have created a hiring process that is totally unique, empowering our business-based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent.
As a Talent Scientist, you will work closely with Hiring Leads to drive initiatives, automation, and best practices whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they can select the best talent available from our global talent pool.
The required skills and qualifications for this role include an exceptional academic background including a Bachelor's or Master's degree in a Psychology-based subject. Strong analytical problem-solving ability to identify trends and patterns using R or Python, SQL, statistical analysis, BI tooling, etc., is essential. Exposure/appreciation of psychometric assessments, including interpretation, is also required. The candidate should have experience conducting behavioural, competency-based interviews, with the ability to train stakeholders and advise on how to get the best out of an interview. A demonstrative viewpoint on talent, with a deep appreciation of how to predict and measure the success of people, is also essential. Passionate about how an organisation selects talent using scientific approaches, the candidate must have a high level of personal organisation to work remotely and be effective. Willingness to travel to company events 2-4 times a year, for up to two weeks each, is also required.
Other skills you may bring include experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders. Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML are also valuable. Exposure to tools such as LinkedIn Talent Insights, Greenhouse, DISC profiling, and psychometric validity and reliability metrics are desirable.
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