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- США
- Зарплата
- 140 000 $ – 170 000 $
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Senior I/O Psychologist
Отличная позиция в лидирующей компании своего сегмента с прозрачной вилкой зарплаты и высокой социальной значимостью работы. Роль предлагает уникальное сочетание науки и технологий, а также возможность влиять на процессы найма в компаниях уровня NVIDIA и Amazon.
Сложность вакансии
Высокая сложность обусловлена требованием степени Ph.D. и глубокой экспертизы в психометрике, валидизации тестов и трудовом праве США. Роль требует сочетания продвинутых навыков анализа данных (R/Python) с консалтинговым опытом на уровне топ-менеджмента.
Анализ зарплаты
Предложенная зарплата ($140k - $170k) находится в верхнем диапазоне рыночных значений для Senior I/O психологов в Нью-Йорке. С учетом того, что это базовая часть без учета бонусов и опционов, предложение является очень конкурентоспособным для сектора Tech/SaaS.
Сопроводительное письмо
I am writing to express my strong interest in the Senior I/O Psychologist position at HackerRank. With a Ph.D. in Industrial/Organizational Psychology and over five years of experience in designing and validating selection systems, I have consistently focused on bridging the gap between scientific rigor and scalable business solutions. My background in conducting job analyses and criterion-related validation studies aligns perfectly with HackerRank’s mission to prioritize skills over pedigree.
Throughout my career, I have specialized in translating complex assessment data into actionable insights for executive stakeholders. I am particularly drawn to HackerRank because of your leadership in the technical hiring space and your commitment to legally defensible, skills-based assessment. I am confident that my proficiency in R and Python, combined with my experience in adverse impact analysis, will allow me to contribute immediately to the success of your global enterprise customers and the continuous improvement of your SaaS platform.
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Описание вакансии
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
New York City is the preferred location for this hybrid role, but we also encourage candidates who prefer our Santa Clara office to apply.
About the role
In this role, you will collaborate with our global customers to implement, optimize, and scale their technical assessment programs (both for hiring and internal development), as well as work with cross-functional teams to enhance HackerRank’s products and services.
What you'll do
- Partner with enterprise customers to design and implement skills-based assessment solutions that improve hiring quality and business outcomes.
- Serve as a trusted advisor, guiding organizations toward professionally sound, legally defensible, and scalable hiring practices.
- Lead job analyses and validation studies that establish strong linkage between roles and assessments.
- Deliver clear, compelling documents and presentations that support confident decision-making and long-term program sustainability.
- Use assessment and product data to generate actionable insights that optimize test performance and customer impact.
- Drive continuous improvement at HackerRank by working cross-functionally to operationalize assessment science in our product, services, and go-to-market approach.
- Contribute to long-term customer success and retention by collaborating with cross-functional teams to enhance program impact and identify opportunities for strategic growth.
- Contribute to thought leadership and internal capability building that advances skills-based hiring across the organization.
Who you are
- Ph.D. in Industrial/Organizational Psychology or a closely related field required.
- 5+ years of experience designing, implementing, and validating employee selection systems in applied organizational settings.
- Demonstrated expertise in job analysis, content and criterion-related validation, adverse impact analysis, and employment law compliance (e.g., Uniform Guidelines).
- Experience producing clear, defensible technical documentation suitable for executive and legal review.
- Proven ability to serve as a consultative advisor to organizational stakeholders, including presenting complex findings to non-technical audiences.
- Strong project leadership skills, including scoping customer needs, managing execution, and delivering high-quality outcomes on time.
- Demonstrated ability to translate business requirements into scientifically rigorous, scalable solutions.
- Proficiency in statistical analysis tools (e.g., R, Python) and survey design platforms.
- Ability to operate effectively in a fast-paced, cross-functional SaaS environment with global stakeholders.
- Exceptional critical thinking, analytical rigor, and written communication skills.
Even better if you have
- Experience or familiarity with Human Resources or Talent Acquisition technologies.
- Experience or familiarity with SaaS business models.
- Experience or familiarity with technical roles and technical hiring.
You will thrive in this role if you
- Set and uphold high standards of excellence for yourself and those around you.
- Anticipate risks, clarify ambiguity, and proactively move projects forward without waiting for direction.
- Build trust rapidly with customers and internal stakeholders by demonstrating expertise, sound judgment, and clear communication.
Compensation
- Base salary range: $140,000 - $170,000.
- This range doesn’t include bonuses, stock options, or benefits for which you will be eligible.
- Final offer may vary based on skills, experience, location, and other compensation components.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X |Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
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Навыки
- Industrial and Organizational Psychology
- Psychometrics
- Data Analysis
- R
- Python
- Job Analysis
- Validation Studies
- SaaS
- Statistical Analysis
- Employment Law
Возможные вопросы на собеседовании
Проверка экспертных знаний в области соблюдения законодательства и минимизации дискриминации при найме.
Как вы подходите к проведению анализа неблагоприятного воздействия (adverse impact) для новых инструментов оценки навыков?
Оценка способности кандидата обосновывать научные методы перед бизнесом.
Опишите случай, когда вам нужно было убедить стейкхолдеров в необходимости проведения валидизационного исследования. Какую аргументацию вы использовали?
Проверка технических навыков анализа данных в контексте I/O психологии.
Какие статистические методы и инструменты (например, в R или Python) вы считаете наиболее эффективными для оценки прогностической валидности технических тестов?
Оценка опыта работы с техническими ролями, что критично для HackerRank.
В чем, по вашему мнению, заключаются основные сложности при проведении анализа работы (job analysis) для современных ролей в разработке ПО?
Проверка умения работать в динамичной среде продуктовой компании.
Как вы балансируете между академической строгостью методологии и необходимостью быстрого масштабирования решений в условиях SaaS-бизнеса?
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- Страна
- США
- Зарплата
- 140 000 $ – 170 000 $