Talent Scientist: Data-Driven Hiring Excellence (Remote)

Canonical Ltd.; Manama; Remote; BHD 34,000 - 49,000; Full time

Benefits offered by this job

Learning budget

Annual compensation review

Employee Assistance Programme

Travel opportunities for events

Maternity and paternity leave

Holiday leave

Recognition rewards

Travel upgrades for long-haul events

Priority Pass

Job summary

Canonical is a remote-first tech firm known for Ubuntu and open source leadership. We are expanding our Talent Science team to apply scientific assessment methods to hiring across a global talent pool.

This mid-senior level role emphasizes analytics, behavioural interviews, and stakeholder collaboration to improve decision making in talent selection. You will partner with Hiring Leads to automate processes, drive best practices, and reduce bias while supporting remote teams across the EMEA

Qualifications

• Academic background in psychology or related field.
• Experience hiring in tech or consulting services.
• Ability to drive measurable outcomes with data.
• Interest in predicting and measuring hiring outcomes using science.

Responsibilities

• Drive talent analytics to provide real-time insights for hiring.
• Conduct behavioural talent interviews to reveal motivations and behaviors.
• Build relationships with global stakeholders to align hiring with strategy.
• Drive data-driven insights to inform decision making.
• Consider employer brand and candidate experience in processes.
• Review and streamline hiring processes and tools for efficiency.
• Collaborate with external platforms to maximize ROI.
• Promote diversity and reduce unconscious bias in hiring.

Skills

Talent analytics

Behavioural interviewing

SQL

Python

BI tooling

Data-driven decision making

Remote work discipline

Stakeholder management

Education

Bachelor's or Master's in Psychology

Tools

SQL

Python

Superset

LinkedIn Talent Insights

Greenhouse

DISC profiling

Job description

Canonical is a remote-first tech firm known for Ubuntu and open source leadership. We are expanding our Talent Science team to apply scientific assessment methods to hiring across a global talent pool.

This mid-senior level role emphasizes analytics, behavioural interviews, and stakeholder collaboration to improve decision making in talent selection. You will partner with Hiring Leads to automate processes, drive best practices, and reduce bias while supporting remote teams across the EMEA