Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from McKinsey & Company
Locations: Atlanta, Boston, Chicago, Columbus, Dallas, Detroit, Houston, Miami, New York City, Pittsburgh, San Francisco.
YOUR IMPACT
You’ll work in our People and Organizational Performance Practice (POP) North America as part of our global POP Assets team. As part of our global capabilities and knowledge network, you’ll join more than 1,800 knowledge professionals who work alongside our consultants to generate distinctive insights and innovative solutions that meet our clients’ unique needs.
You will help develop cutting‑edge assets and knowledge on organizational topics and expand existing expertise and solutions in key practice areas including organizational culture & change, people analytics, talent, organizational design, and leadership development.
In a team focused on development and innovation, you will have ample opportunity to receive excellent mentorship to learn and grow, while having freedom to generate and cultivate new ideas.
- Asset development and innovation: You will create scalable solutions, assessments, and tools by conducting foundational research, building new models and frameworks, analyzing survey, archival, financial, operational, and HR data, and implementing these solutions at organizations.
- Client engagement and support: You will partner with senior team members to serve clients on people and organization topics, leveraging your research and data science skills to translate complex data insights into compelling, actionable recommendations.
- Knowledge development and external publishing: You will author or contribute to seminal knowledge pieces across a variety of topics and publication formats. You will work with senior leaders to test research questions and hypotheses using survey methods and advanced analytics techniques, including predictive modeling and data visualization.
This is a paid opportunity with a work schedule of an expected 40 hours, or more on occasion, per week. This role may include travel within the U.S. The program duration is set at a maximum of one year.
YOUR GROWTH
Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture—doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues at all levels will invest deeply in your development, just as much as they invest in delivering exceptional results for clients.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients.
- World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
- Currently in ABD status or recently graduated from an advanced degree program (PhD, DPhil, master’s) in industrial‑organizational (I‑O) psychology, organizational behavior, labor or behavioral economics, data science, computer science, engineering or a related field (e.g., quantitative psychology, educational measurement) with a strong emphasis on research methodology, machine learning, data engineering, artificial intelligence, and/or advanced statistics.
- Excellent research skills, including the ability to complete all components of complex research projects from start to finish (e.g., literature review and synthesis, research and measurement design, data management/cleaning, analysis, interpretation of findings).
- Deep theoretical and applied expertise in one of the following areas: people analytics, talent, survey and assessment design (including relevant psychometric methods), organizational culture, organizational design, decision science and behavior change, leadership, or quantitative text analysis.
- Strong proficiency manipulating, analyzing, and visualizing data using R or Python.
- Experience with fundamental statistical analyses (e.g., ANOVAs, regressions) and one or more advanced approaches (e.g., machine learning, cluster analyses, factor analysis, IRT, network analysis, HLM, SEM).
- Proven record of leadership in a work setting and/or th
Source: McKinsey & Company careers