Scientist - Programs

People Scientist – Recruiting Programs

Roblox is building tools and platforms that empower a global community of developers and creators to bring any 3D immersive experience to life. The People Science & Analytics team supports hiring, capability development, performance, and organizational effectiveness across the company.

In this role you will apply industrial‑organizational psychology principles to strengthen systems, processes, and programs that shape how we hire. You will design, evaluate, and maintain company‑wide recruiting programs and selection processes, ensuring fairness, consistency, and scientific rigor.

• Serve as an embedded People Science partner to the Recruiting Programs team, providing evidence‑based consultation.
• Apply industrial‑organizational psychology principles to design, evaluate, and maintain company wide recruiting programs and selection processes.
• Define and curate the systems, frameworks, and guidance that support structured interviews and consistent evaluation practices.
• Conduct job analyses and role research, including directly interviewing and engaging with software engineers and engineering leaders to establish job‑relevant criteria, competencies, and evaluation signals.
• Evaluate the effectiveness, consistency, fairness, and potential adverse impact of selection practices using applied research and program evaluation methods.
• Partner with the People Data Science team to generate meaningful insights into hiring programs using quantitative and qualitative data.
• Analyze quantitative and qualitative hiring data to identify patterns and inform continuous improvement.
• Guide the development and ongoing improvement of interviewer training materials.
• Communicate insights and recommendations through clear documentation, tools, and presentations that support adoption at scale.

• PhD in Industrial‑Organizational Psychology or a closely related discipline.
• Four to six years of applied experience supporting selection systems, hiring programs, or organizational research in a corporate setting.
• Strong grounding in job analysis, competency modeling, and evidence‑based selection design.
• Experience evaluating or supporting structured interviews, assessment tools, or hiring frameworks at scale.
• Familiarity with program evaluation concepts, including reliability, validity, fairness, and consistency of selection practices.
• Ability to interpret quantitative and qualitative data and collaborate with data scientists using tools such as R or Python.
• Demonstrated experience partnering with recruiters, HR partners, or business stakeholders to translate needs into practical research solutions.
• Strong written and verbal communication skills, with the ability to clearly explain research findings and recommendations.
• Ability to manage multiple initiatives simultaneously while adapting to evolving business priorities.
• Experience with ATS systems such as Greenhouse and selection vendors such as Code Signal is a plus.

• A team player. You are a collaborative partner who takes initiative, follows through reliably, and contributes consistently toward shared goals.
• Low ego and execution focused. You value impact over visibility and take pride in enabling others’ work while delivering high quality outcomes.
• A clear and thoughtful communicator. You ask good questions, articulate ideas succinctly, and help shape research narratives that create shared understanding across technical and non‑technical partners.
• Curious and self‑directed in your learning. You stay current with emerging research, continuously refine your analytical skills, and approach new problem spaces with humility and a learning mindset.
• A rigorous applied researcher. You have strong training in quantitative and qualitative methods and are comfortable executing end‑to‑end research with attention to detail, methodological soundness, and practical relevance.

For roles that are based at our headquarters in San Mateo, CA: the starting base pay for this position is $186,450—$228,140 USD. The actual base pay is dependent upon a variety of job‑related factors such as professional background, training, work experience, location, business needs and…