18 часов назад
Senior People Scientist, Talent Management
100 000 - 137 500CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior People Scientist, Talent Management (Psychometrics, People Analytics, AI): Designing and improving company-wide talent programs, measurement frameworks, surveys, dashboards, and AI-assisted tools with an accent on psychometrics, statistical methods, and responsible people-data practices. Focus on translating complex talent data into actionable recommendations, automating workflows, and validating AI-agent outputs for reliable decision-making.
Location: Remote-first, with priority given to candidates located in Canada
Base salary: $100,000–$137,500 CAD per year. Additional compensation may include annual bonuses, commissions, equity awards, and benefits.
Company
is an AI-powered programmatic advertising technology company connecting brand and performance marketing through its marketing platform.
What you will do
- Own and continuously improve company-wide talent programs, including bi-annual engagement surveys, performance review cycles, and job architecture initiatives.
- Build measurement frameworks for performance quality, manager effectiveness, and employee engagement using psychometric and statistical methods.
- Develop lightweight apps, dashboards, and AI agents with low-code AI-assisted tools to make people data accessible to leaders.
- Partner with People Business Partners, People Analytics, Total Rewards, and senior leaders to turn complex findings into actionable people-strategy recommendations.
- Identify workflow automation opportunities and oversee AI-agent outputs as a human-in-the-loop to improve reliability and reduce manual intervention.
- Manage people-data and research-ethics considerations in talent programs.
Requirements
- Advanced degree in I/O Psychology, Organizational Behaviour, Social Psychology, Human Factors, Behavioural Science, or a related quantitative field, or equivalent applied experience.
- Fluency in experimental design, psychometrics, survey methodology, and inferential statistics.
- Experience owning program cycles end-to-end, using data to revisit assumptions, and optimizing delivery and participation.
- Ability to use AI and low-code tools to build self-serve dashboards, lightweight apps, and AI agents.
- Strong stakeholder communication skills and the ability to explain complex findings to senior leaders and cross-functional partners.
- Experience with data analysis and reproducible workflows; SQL and/or Python knowledge is an asset.
Culture & Benefits
- Remote-first work environment with work-from-home reimbursements.
- Competitive paid time off, including a birthday day off.
- Retirement, 401(k), and pension savings programs globally, depending on location.
- Health benefits from the first day of employment and comprehensive mental-health support.
- Training, onboarding, conferences, courses, books, and access to certifications.
- Parental leave, optional global WeWork membership, and social and team events.
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