Talent Scientist

Overview

As a pioneer remote-first tech company, we hire globally and rely on a data‑driven Talent Science team to optimize talent selection. This is an exceptional opportunity to join a team that shapes how an organization hires, focusing on objective, scientifically rigorous and efficient processes to select top talent from our global pool.

This role focuses on the science of talent and performance, offering expert viewpoints on talent assessments and driving initiatives, automation, and best practices alongside Hiring Leads.

As a Talent Scientist you will:

• Drive talent analytics to provide real-time insight, partnering with the business to streamline hiring processes.
• Conduct in-depth behavioral talent interviews to gain insights into motivations and behaviors.
• Build relationships with global stakeholders to ensure delivery against hiring goals, monitor activities, and maintain consistency in processes.
• Drive data‑driven insights to support robust decision making.
• Consider employer branding and candidate experience in interactions throughout hiring.
• Review and streamline hiring processes and tools to enable continuous improvement.
• Collaborate with external partners to maximize return on investment.
• Advocate for diversity and inclusion, removing unconscious bias from hiring and supporting inclusive sourcing strategies.

• Bachelor’s or Master’s degree in a psychology‑based subject or related field.
• Experience hiring talent in technology or consulting sectors.
• Data‑driven mindset with ability to create measurable outcomes.
• Interest in scientific approaches to talent selection and ability to articulate how to predict and measure hiring outcomes.
• Strong analytical problem‑solving skills using SQL, Python and/or advanced statistical analysis; experience with BI tools is a plus.
• Exposure to psychometric assessments including interpretation.
• Experience conducting behavioral, competency‑based interviews and ability to train stakeholders to maximize interview effectiveness.
• High level of personal organization to work remotely and be effective.
• Willingness to travel to company events 2–4 times per year, up to two weeks per trip.

• Experience in sourcing and headhunting with the ability to teach leadership how to identify industry leaders.
• Experience with statistical significance testing, Bayesian inference, predictive analytics and ML.
• Familiarity with tools such as Linked In Talent Insights, Greenhouse, DISC profiling, and Superset.
• Psychometric validity and reliability metrics.

We tailor compensation by geography, experience, and performance. We revisit compensation annually and offer a performance‑driven annual bonus. We provide benefits aligned with our values and ensure fairness globally.

• Distributed work environment with biannual team sprints in person
• Personal learning and development budget
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Travel upgrades for long‑haul company events

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company behind Ubuntu, we publish one of the most important open source projects and enable AI, IoT and cloud initiatives worldwide. We recruit globally and maintain high standards for excellence. Canonical has been remote‑first since 2004, offering a future‑oriented environment that challenges you to think differently, work smarter, and continuously develop your skills.