Descripción de la oferta
Join to apply for the Talent Scientist role at Canonical . Overview As a pioneer remote‑first tech company, Canonical attracts a large number of applicants worldwide. Our Talent Science team ensures that hiring processes are scientifically rigorous, objective and efficient, empowering leadership to make the best talent decisions. As a Talent Scientist, you will work closely with Hiring Leads to drive initiatives, automation and best practice while providing an expert viewpoint on talent assessments. This is not a recruiter position; it focuses on the science of talent and performance, raising awareness and insights across the business. Responsibilities Drive talent analytics to provide real‑time insight, partnering with the business to streamline hiring processes. Conduct in‑depth behavioural talent interviews, yielding substantial insights into motivations and behaviours. Build relationships with global stakeholders to ensure alignment with our hiring agenda and maintain consistency in operational processes. Generate data‑driven insights, ensuring robust decision‑making and supporting hiring outcomes. Consider the employer brand and candidate experience impacts. Review and streamline hiring processes and tools for continuous improvement. Collaborate with external third parties and platforms to maximise return on investment. Advocate for diversity and inclusion, removing unconscious bias from our hiring processes. Qualifications Bachelor’s or Master’s degree in a psychology‑based subject (exceptional academic background). Experience hiring talent in technology or consulting industry. Highly data‑driven mindset with ability to create measurable outcomes. Passion for scientific approaches to talent selection and forecasting hiring outcomes. Strong analytical problem‑solving skills using SQL, Python and/or advanced statistical analysis. Exposure/appreciation of psychometric assessments and their interpretation. Experience conducting behavioural, competency‑based interviews and training stakeholders. High level of personal organisation and self‑drive to work remotely. Willingness to travel to company events 2‑4 times a year, up to two weeks each. Other Skills You May Bring Experience in sourcing and headhunting, with ability to coach senior leadership on talent hunting. Experience in statistical significance testing, Bayesian inference, predictive analytics or machine learning. Familiarity with LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset and psychometric validity metrics. What we offer you Distributed work environment with bi‑annual team sprints in person. Personal learning and development budget of USD 2,000 per year. Annual compensation review and performance‑driven bonus. Recognition rewards and annual holiday leave. Maternity and paternity leave. Employee Assistance Programme. Opportunities to travel to new locations to meet colleagues. Priority Pass and travel upgrades for long‑haul company events. About Canonical Canonical is a pioneering tech firm at the forefront of open source. As the publisher of Ubuntu, one of the most important open‑source projects and platforms for AI, IoT and the cloud, we are changing the world daily. Canonical is remote‑first since 2004, recruiting globally and setting a high standard for people joining our company. Seniority level Mid‑Senior level Employment type Full‑time Job function Research, Analyst, and Information Technology Software Development Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration. #J-18808-Ljbffr
