Research Scientist

Summary

Passionate about continuous learning and growth, collaborating with curious people, and turning messy data into clear insights.

10 years of experience leveraging quantitative methods to drive impactful research projects from end-to-end in both academic and corporate settings.

Demonstrated ability to communicate complex findings effectively to diverse audiences, and skilled at navigating ambiguity to drive data-informed decision making.

Specialized expertise in social determinants of health, mental health, and employee well-being/engagement.

Author of 15 peer-reviewed publications with internationally located research teams (full list here: bit.ly/GoogleScholar_Koltai).

Quantiative methods experience and exerptise: longitudinal data analyses; linear and logistic regression modelling; propensity score matching; inverse probability of treatment models; difference-in-difference techniques; event study models; quasi-experimental methods for causal inference.

Technical skills and expertise: SQL, R, Stata, SPSS, Excel.

Expectations

Ideal enviornment would include exciting research projects that have impact and drive positive change, brilliant and collaborative colleagues, and a salary in line with my current role.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• Quantiative Research
• Longitudinal Data Analyses
• Linear
• Logistic Regression Modelling
• Propensity Score Matching
• Inverse Probability
• Treatment Models
• Difference-in-difference Techniques
• Event Study Models
• Quasi-experimental Methods
• Causal Inference
• SQL
• R
• Stata
• SPSS
• Excel
• People Data
• Qualitative Research
• Employee
• KPI Development
• Evaluation
• Cross-functional Collaborations
• End-to-end Research
• Survey Research
• Research Design
• Psychometrics
• Measurement
• Business Writing
• Technical Wrtiting
• Presentation Skills
• Communication
• Teaching Skills