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Responsibilities
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.As a Talent Scientist you will:Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.Consider our employer brand and how our interactions with a candidate impacts their experience.Review and streamline hiring processes and tools to drive continuous improvement.Work with external third parties and platforms to ensure we maximise our return on investment.Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.What we are looking for in youAn exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.Experience of hiring talent in the technology or consulting industry.A highly data drive mindset with the ability to create measurable outcomes.Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.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.A high level of personal organisation and self drive 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 bringExperience 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, Superset.Psychometric validity and reliability metrics.What we offer youWe consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.Distributed work environment with twice-yearly team sprints in personPersonal learning and development budget of USD 2,000 per yearAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeOpportunity to travel to new locations to meet colleaguesPriority Pass, and travel upgrades for long haul company eventsAbout CanonicalCanonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
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