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People Scientist Phd – Intern
IO Psychology
Confirmed live in the last 24 hours
Experience Level
  • Minimum second-year doctorate (PhD) degree in progress at an accredited Industrial and Organizational Psychology program
  • Experience in I/O psychology research, including generating ideas from research, creating methodologies, and data analysis
  • Expert knowledge of advanced statistical techniques (e.g., regression, cluster analysis, latent profile analysis, hierarchical linear modeling, choice modeling, social network analysis, Bayesian methodologies, etc.)
  • Strong communication skills with a growth and learning mindset
  • Experience presenting to C-level executives or stakeholders
  • Ability to translate the needs of our customers internally and externally
  • Client relationship management skills, such as, expectation management, negotiation skills, and influencer skills
  • Proficient in R or Python
  • An investigative mindset, always asking questions and ready to take on new projects
  • Love what you do, love to be busy, and love to produce by being organized and methodical
  • Work with a sense of urgency and have a strong drive for results
  • Have the resilience and agility to adapt quickly in a fast-paced environment
  • Work independently as well as collaboratively to stretch thinking into creative solutions
  • Have strong verbal and written communication skills
  • Are excited about and suited for a startup, where you'll be wearing a few hats
  • Are smart and fun with an empathetic nature, which will add to our culture

11-50 employees

Data science consulting & search firm
Company Overview
Vee’s mission is to reimagine how to drive alignment and build organizations that unlock potential, drive innovation, and sustain growth. Vee has developed a unique framework and methodology to provide consulting and build products to help C-suite and senior leaders understand and implement the change required to operationalize their purpose and transform.
Company Core Values
  • Purpose-fueled
  • Human-centric
  • Context-driven