Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

We’re a team of organizational research scientists who inform people strategy and program design, diagnose opportunity areas, and evaluate the impact of people programs and initiatives. We’re obsessed with delivering high-value output to our users and are currently looking to expand our impact on hiring quality, employee selection, and performance.

What you’ll do

In this role, you will be responsible for researching and consulting on Stripe’s efforts to attract exceptional talent at scale and drive high performance throughout the employee lifecycle. You will partner closely with Recruiting, People Partners, Org Leaders, and People Analytics to identify opportunities for greatest impact - then deliver value through creative problem-solving, actionable insights, and effective people practices. It’s a fascinating time to be doing this type of work!

Responsibilities

Design, validate, and iterate structured selection instruments (e.g., structured interviews and assessments) to maximize predictive validity and fairness
Develop and maintain predictive models that synthesize pre-hire signals into calibrated likelihoods of on-the-job success for hiring decisions
Conduct root-cause analyses to identify selection gaps and recommend process or assessment changes
Evaluate vendor assessment tools and recruitment technologies for validity, candidate experience, scalability, and legal defensibility
Advise cross-functional partners (e.g., Recruiting, Business Leaders) on selection strategy, sourcing-to-quality trade-offs, and the business case for investments in assessment infrastructure
Articulate and present complex research findings effectively to diverse audiences ranging from program designers to executives
Design, implement, and evaluate complex organizational interventions to enhance the growth and success of Stripes
Leverage structured and unstructured data efficiently to support key organizational initiatives and processes

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

Advanced degree in a field emphasizing the science of human behavior at work (e.g., Organizational Behavior, Industrial/Organizational Psychology, or a related field)
5+ years of experience conducting research in an organization or consulting environment, including formulating questions with users, collecting and analyzing data, generating insights, and sharing results with various types of audiences
Proficiency in organizational research methodology, statistics, and predictive analytics
Applied experience in employee selection, hiring quality, and performance management
Expertise in statistical programming software (R or Python)
Ability to manage competing priorities and timelines to deliver high-quality solutions, as-promised and on-time
Experience communicating technical concepts clearly, with audiences at all levels
Flexibility and comfortability with ambiguity (our environment changes rapidly, and your work might too!)

Preferred qualifications

Strong familiarity with common HRIS and ATS systems
Experience building and operationalizing ML models for HR use cases, with attention to fairness and ethical considerations
Ph.D. in a field emphasizing the science of human behavior at work (e.g., Organizational Behavior, Industrial/Organizational Psychology, or a related field)
Experience working in large tech or fast-scaling organizations

People Scientist