Senior Data Scientist I
Core
Designing and evaluating experiments, conducting research, developing predictive and causal models, and building marketplace optimization algorithms to inform decision-making.
Role type
Senior IC data scientist (causal inference & predictive modeling)
Builds
Predictive models, causal models, marketplace optimization algorithms, and analytical insights
Domain
Retail / Marketplace / E-commerce
Deliverable
production ML models | research | dashboards & analysis
Required skills
Advanced causal inference methods, predictive modeling, Python, statistical analysis, data visualization, data storytelling
Preferred skills
None stated
Technologies
Python, Pandas, Numpy, LightGBM, Scikit-Learn, PyTorch, EconML, Statsmodels, Tableau
Responsibilities
Design and evaluate experiments; develop predictive and causal models; consult with internal teams on model performance; translate analytical findings into actionable insights; communicate results using data visualization tools.
Seniority
Senior, hands-on IC
