Staff Data Scientist

What you'll do

• Develop methodologies and KPIs to assess behavioral evaluation solutions, and guide the evaluation portfolio used by software engineers.
• Analyze evaluation bottlenecks and improve metrics, sampling strategies, and statistical inference.
• Partner with product, engineering, and evaluation teams to scale portfolio monitoring, inform launch criteria, and drive continuous improvement.

What they ask for

• Degree in a quantitative field.
• Either a PhD in a quantitative field and 5+ years of industry experience, or 7+ years of industry experience solving data science problems.
• Strong statistical background, including applied advanced methods such as experimental design or causal inference; familiarity with ML systems/models.
• Knowledge of data analysis libraries and packages in Python, R, and/or SQL.

Nice to have

• Experience developing production-grade software and tools; technical leadership of a broad data science area or independently delivering data science projects with business value.
• Experience with large-scale evaluation or experimentation/data platforms, or with autonomous driving or ride hailing.

Pay

$238,000 — $302,000 USD (base salary)

Tools

Python, R, SQL

AI focus

The role involves evaluating autonomous-driving software and familiarity with machine-learning systems/models; no AI development work is specified.