Talent Scientist

3 Hours ago • All levels

Job Summary

Job Description

As a Talent Scientist, you will work closely with Hiring Leads to drive initiatives, automation, and best practices while offering expert viewpoints on talent assessments. The role focuses on the science of talent and performance, raising awareness and insights across the business to select the best global talent. Responsibilities include driving talent analytics, conducting in-depth behavioral talent interviews, building relationships with stakeholders, driving data-driven insights, and improving hiring processes and tools. The role also involves considering the employer brand and ensuring diversity and inclusion in hiring. The Talent Scientist will also collaborate with external third parties to maximize the return on investment.
Must have:
  • Passionate about selecting talent using scientific approaches
  • Ability to interview candidates with behavioral techniques
  • Strong analytical problem-solving with R/Python/SQL
  • Bachelor's or Masters degree in a Psychology based subject
  • High level of personal organization for remote work
Good to have:
  • Experience in sourcing and headhunting.
  • Experience in statistical significance testing.
  • Exposure to tools like LinkedIn Talent Insights.
Perks:
  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues
  • Priority Pass, and travel upgrades for long haul company events

Job Details

As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. 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. This is an exceptional opportunity to join a team that is changing the way an organisation hires. 

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-senior 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

Location: This is a remote position based in the EMEA region

What your day will look like

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 you

  • An demonstrative viewpoint on hiring talent in the technology industry with experience working within an highly data driven People team.
  • Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
  • 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.
  • 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 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

What we offer you

We 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 person
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity 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 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.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

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