Title: Data Scientist - Statistical Modeling (open to senior-level)

About the Role

We're looking for a Data Scientist with strong statistical expertise to drive data-informed decisions across our autonomous vehicle platform. You'll design experiments, analyze real-world vehicle data, and apply rigorous statistical methods to evaluate system performance, safety, and reliability.

What You'll Do

• Design and analyze A/B tests and experiments to evaluate AV system performance and algorithm changes
• Build statistical models (regression, time series, ANOVA) to analyze vehicle behavior and fleet performance across millions of miles
• Develop metrics and KPIs to measure safety and reliability using hypothesis testing and confidence intervals
• Perform segmentation analysis across driving scenarios to identify performance patterns and improvement areas
• Conduct failure analysis and anomaly detection using statistical methods
• Build data pipelines and automated reporting for continuous fleet monitoring
• Partner with engineering teams to translate insights into actionable recommendations

What You'll Need

• Strong foundation in statistics and experimental design (hypothesis testing, regression, time series, A/B testing)
• Expert Python proficiency with statistical libraries (statsmodels, SciPy, NumPy, scikit-learn, Pandas)
• Solid SQL skills and experience with distributed computing (Spark, Hadoop)
• Data visualization experience (Matplotlib, Plotly, Tableau)
• Strong communication skills to explain complex statistical concepts to technical teams

Nice to Have

• Experience with autonomous vehicles, robotics, or sensor data
• Bayesian methods and causal inference knowledge
• Background in safety analysis or reliability engineering
• Experience with R or SAS