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User Experience Researcher à United States

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Research Associate in High-performance 2D Membranes (KK12574) - Bath, BA2 7AY. Job in Bath Educ[...]

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Graduate Talent Scientist

Faites partie des premiers candidats.
Canonical
City of Edinburgh
À distance
GBP 25 000 - 35 000
Faites partie des premiers candidats.
Il y a 2 jours
Description du poste

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders across various sectors. The company is founder-led, profitable, and growing.

Our Talent Science team aims to ensure objective, scientifically rigorous, and efficient processes to select the best new colleagues worldwide. We collaborate with stakeholders to support fair decision-making and lead an effective hiring ecosystem leveraging data and behavioral science, working closely with our Hiring Leadership team.

We seek exceptional entry-level candidates with a psychology-based degree and an outstanding academic record. Relevant experience from coursework, internships, or initial roles in talent teams is preferred. You will learn to implement hiring strategies that promote high performance and contribute to our talent agenda.

The ideal candidate will have an analytical mindset, curiosity, and proficiency in SQL or Python for data insights. You should be able to prioritize tasks in a fast-paced environment, possess strong self-motivation, and have a passion for understanding human decisions and behaviors. Excellent communication skills are essential for working with senior stakeholders, and an interest in technology platforms and automation is desirable.

This role is remote within the EMEA region and involves:

  1. Learning candidate assessment techniques, including behavioral interviews.
  2. Understanding psychometrics in the workplace.
  3. Improving process and documentation efficiencies.
  4. Contributing to data-driven hiring projects.
  5. Building stakeholder relationships to design solutions for hiring challenges.
  6. Gaining system and platform knowledge to support hiring inquiries.
  7. Supporting ticket and channel inquiries to understand and improve processes.

We are looking for candidates with:

  1. Exceptional academic achievement from high school and university, with a degree in psychology or related fields.
  2. Advanced data analysis skills using SQL, Python, and/or R.
  3. Exposure to talent topics through coursework, internships, or early roles.
  4. A passion for technology, demonstrated through experience or interest.
  5. Results-driven approach with project management skills.
  6. Excellent English communication and presentation skills.
  7. Ambition, curiosity, and drive to innovate in talent management.
  8. Willingness to travel internationally twice a year for up to two weeks.

Nice-to-have skills include advanced psychometrics, understanding of intrinsic motivation, and advanced statistical analysis.

We offer:

  1. A distributed work environment with biannual in-person team sprints.
  2. USD 2,000 annual learning and development budget.
  3. Performance reviews and competitive compensation.
  4. Various benefits aligned with our values, including leave, family support, and travel perks.

About Canonical:

Canonical pioneers open source software, publishing Ubuntu, a key platform for AI, IoT, and cloud computing. We hire globally, uphold high standards, and foster a remote, innovative, and inclusive workplace. Join us to think differently, learn new skills, and advance your career.

Canonical is an equal opportunity employer, committed to diversity and fair hiring practices.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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