Senior People Scientist, Talent Management
stackadapt • Canada
Posted: September 3, 2026
Job Description
Reporting into the Senior Talent Management Lead, we are looking for a Senior People Scientist to join our People & Culture team. In this role, you will use rigorous scientific methods to advance how StackAdapt defines, measures, and acts on talent data, and the applied skill to turn it into working tools that support better decisions across the organization. You will own critical company-wide programs, partner with senior leadership, and help us scale the people infrastructure that supports all StackAdapters.
This role partners closely with People Business Partners, People Analytics, Total Rewards, and senior leaders across all business functions. You will serve as the scientific backbone for programs that span Engineering, Revenue, and G&A — ensuring that measurement frameworks, surveys, and talent insights are rigorous, actionable, and trusted across the organization.
StackAdapt is a Remote First company although we are prioritizing candidates located in Canada for this role.
What you'll be doing:
- Take end-to-end ownership to design, manage, and continuously improve company-wide talent programs including the bi-annual engagement survey, performance review cycles, and job architecture initiatives
- Build measurement frameworks that assess what matters most: performance quality, manager effectiveness, and employee engagement, using sound psychometric and statistical methods.
- Build or improve internal lightweight apps, dashboards, and AI agents using low-code AI-assisted tooling to turn people data into scalable, accessible insights for leaders
- Establish a working cadence with key cross-functional partners (PBPs, People Analytics, Total Rewards) and senior stakeholders to translate complex data into clear, actionable recommendations that inform overall people strategy.
- Identify areas of opportunity for automation of workflows, and serve as the human-in-the-loop for AI agents. Oversee, validate, and maintain those outputs to ensure reliability, trust, and a measurable reduction in errors or manual interventions.
- Navigate and manage people data and research ethics considerations to ensure we are responsibly building
What You'll Bring to the Table:
- Advanced degree (MSc or PhD) in I/O Psychology, Organizational Behaviour, Social Psychology, Human Factors, Behavioural Science, or a related quantitative field — or equivalent applied depth.
- Fluency in experimental design, psychometrics, survey methodology, and inferential statistics — with the ability to apply these in a fast-moving, applied setting.
- Proven track record of taking ownership of active program cycles end-to-end, revisiting assumptions with data, and optimizing processes to deliver programs on time with high participation rates.
- Ability to use AI and low-code tools to ship self-serve dashboards, lightweight apps, and agents that make people data accessible and drive measurable stakeholder adoption.
- Strong stakeholder communication skills and demonstrated ability to build working cadences across cross-functional partners (PBPs, People Analytics, Total Rewards) to translate complex findings into clear narratives for senior leaders.
- Comfort working with data and building reproducible analyses; SQL and/or Python knowledge is a strong asset, along with an aptitude for maintaining AI oversight and workflow automation.
- Strong stakeholder communication skills — able to translate complex findings into clear narratives for senior leaders and cross-functional partners
Additional Content
Reporting into the Senior Talent Management Lead, we are looking for a Senior People Scientist to join our People & Culture team. In this role, you will use rigorous scientific methods to advance how StackAdapt defines, measures, and acts on talent data, and the applied skill to turn it into working tools that support better decisions across the organization. You will own critical company-wide programs, partner with senior leadership, and help us scale the people infrastructure that supports all StackAdapters.
This role partners closely with People Business Partners, People Analytics, Total Rewards, and senior leaders across all business functions. You will serve as the scientific backbone for programs that span Engineering, Revenue, and G&A — ensuring that measurement frameworks, surveys, and talent insights are rigorous, actionable, and trusted across the organization.
StackAdapt is a Remote First company although we are prioritizing candidates located in Canada for this role.
What you'll be doing:
- Take end-to-end ownership to design, manage, and continuously improve company-wide talent programs including the bi-annual engagement survey, performance review cycles, and job architecture initiatives
- Build measurement frameworks that assess what matters most: performance quality, manager effectiveness, and employee engagement, using sound psychometric and statistical methods.
- Build or improve internal lightweight apps, dashboards, and AI agents using low-code AI-assisted tooling to turn people data into scalable, accessible insights for leaders
- Establish a working cadence with key cross-functional partners (PBPs, People Analytics, Total Rewards) and senior stakeholders to translate complex data into clear, actionable recommendations that inform overall people strategy.
- Identify areas of opportunity for automation of workflows, and serve as the human-in-the-loop for AI agents. Oversee, validate, and maintain those outputs to ensure reliability, trust, and a measurable reduction in errors or manual interventions.
- Navigate and manage people data and research ethics considerations to ensure we are responsibly building
What You'll Bring to the Table:
- Advanced degree (MSc or PhD) in I/O Psychology, Organizational Behaviour, Social Psychology, Human Factors, Behavioural Science, or a related quantitative field — or equivalent applied depth.
- Fluency in experimental design, psychometrics, survey methodology, and inferential statistics — with the ability to apply these in a fast-moving, applied setting.
- Proven track record of taking ownership of active program cycles end-to-end, revisiting assumptions with data, and optimizing processes to deliver programs on time with high participation rates.
- Ability to use AI and low-code tools to ship self-serve dashboards, lightweight apps, and agents that make people data accessible and drive measurable stakeholder adoption.
- Strong stakeholder communication skills and demonstrated ability to build working cadences across cross-functional partners (PBPs, People Analytics, Total Rewards) to translate complex findings into clear narratives for senior leaders.
- Comfort working with data and building reproducible analyses; SQL and/or Python knowledge is a strong asset, along with an aptitude for maintaining AI oversight and workflow automation.
- Strong stakeholder communication skills — able to translate complex findings into clear narratives for senior leaders and cross-functional partners