Talent Scientist

Canonical Accra, Ablekuma Central Municipal Greater Accra Other Services Full-time . On-Site
Posted 6 days ago
Job Description

Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background. As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice 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 are able to select the best talent available from our global talent pool. We have a number of mid level openings in our team seeking the following: Passionate about how an organisation selects talent using scientific approaches Ability to interview candidates using behavioural interviewing techniques (competency based and psychometric assessments) Strong analytical problem solving ability to identify trends and patterns using R or Python, SQL, statistical analysis, BI tooling etc. An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject A high level of personal organisation to work remotely and be effective

Requirement(s)

An exceptional academic background including a Bachelors or Masters 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. Exposure/appreciation of psychometric assessments, including interpretation. Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview. An demonstrative viewpoint on talent, with a deep appreciation of how to predict and measure success of people. Passionate about how an organisation selects talent using scientific approaches. 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. Other Skills You May Bring 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. Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling. Psychometric validity and reliability metrics