Research Associate contributing to NIH - funded studies in Dr. Christina Dyar's lab. Managing operations and participant communications, while contributing to manuscripts and presentations.
About the role
- Data Scientist in Workforce Analytics team exploring trends and modeling behaviors. Partnering with HR to improve employee experience and organizational effectiveness and implementing AI solutions.
Responsibilities
- Stay up to date with academic literature, market research, and industry trends in organizational science, behavioral analytics, and AI.
- Proactively research key trends impacting talent (e.g. AI) to hypothesize the future of work.
- Design interventions and experiments to measure and improve individual, team, and organizational outcomes.
- Collaborate with external researchers, attend conferences, and contribute to publications or internal white papers.
- Design research and conduct statistical analyses and build predictive models to address workforce challenges such as attrition, engagement, performance, and inclusion.
- Apply machine learning techniques to identify patterns, forecast outcomes, and optimize HR processes.
- Integrate internal HR data with external benchmarks and research to contextualize insights.
- Develop and implement AI solutions aligned with organizational goals, including natural language processing, recommendation systems, and generative AI applications.
- Ensure ethical AI practices, data privacy, and compliance in all implementations.
- Stay current with emerging technologies in AI, data science, and HR tech.
- Partner with People Analytics consultants to translate business questions into analytical approaches and to ensure data quality and effective storytelling.
- Communicate findings clearly to technical and non-technical audiences, influencing decisions at all levels.
Requirements
- Master’s / PhD degree in Industrial/Organizational Psychology, Data Science, Statistics, or a related field.
- 4–8 years of experience in data science, preferably within HR, People Analytics, or organizational research.
- Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn).
- Experience with data visualization tools (e.g., Power BI).
- Strong understanding of statistical modeling, hypothesis testing, and experimental design.
- Excellent communication and stakeholder management skills.
- Demonstrated ability to handle sensitive data with discretion and integrity.
Benefits
- Health Insurance
- Life Insurance
- Retirement or Pension Plans
- Paid Time Off (PTO)
- various Leave options
- Performance-Based Incentives
- employee stock purchase plan
- restricted stocks (RSU’s)
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