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Talent Scientist (Remote, EMEA)

Canonical · Beyrouth

جديد Remote
Remote Mid 🇬🇧 English
SQL Python Statistical analysis Bayesian inference LinkedIn Talent Insights Greenhouse DISC profiling Superset

وصف الوظيفة

About the role

Canonical, a remote-first open-source technology company, is hiring a Talent Scientist for its Talent Science team. The team works with Hiring Leads to build objective, scientifically rigorous and efficient hiring processes, and the Talent Scientist offers 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 so it can select the best talent from its global pool. The role is remote within the EMEA region.

Key responsibilities

  • Drive talent analytics to give the business real-time insight and help it move through hiring efficiently.
  • Conduct in-depth behavioural talent interviews and share insights on motivations and behaviours.
  • Build relationships with global stakeholders, monitor hiring activity and ensure consistency in operational processes.
  • Produce data-driven insights that support robust decision-making.
  • Review and streamline hiring processes and tools, and work with external partners to maximise return on investment.
  • Consider employer brand and candidate experience, and bring a passion for diversity and inclusion by removing unconscious bias from hiring.

Required profile

  • Bachelor's or Master's degree in a psychology-based subject.
  • Experience hiring talent in the technology or consulting industry.
  • Highly data-driven mindset with the ability to create measurable outcomes.
  • Strong analytical problem-solving and a high level of personal organisation to work remotely.
  • Willingness to travel to company events 2-4 times a year, up to two weeks each.

Required skills

  • SQL, with Python and/or advanced statistical analysis preferable.
  • Behavioural, competency-based interviewing and psychometric assessment interpretation.
  • Nice to have: sourcing and headhunting, statistical significance testing, Bayesian inference, predictive analytics and ML, and tools such as LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.

What we offer

  • Distributed work environment with twice-yearly in-person team sprints.
  • Learning and development budget of USD 2,000 per year and annual compensation review.
  • Performance-driven annual bonus, recognition rewards and annual holiday leave.
  • Maternity and paternity leave, Employee Assistance Programme and travel opportunities.
  • Priority Pass and travel upgrades for long-haul company events.

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Beyrouth