Serve Robotics is looking to revolutionize the future of autonomous last-mile delivery by optimizing processes and driving strategic decisions to fuel rapid growth.
Requirements
- Advanced Proficiency in SQL for data exploration, transformation, and analysis across large datasets
- Proven expertise in using data visualization and BI tools (e.g., Tableau, Looker) to communicate insights and support decision-making
- Strong programming skills in Python or R for data manipulation and statistical analysis
- Deep understanding of statistical analysis, hypothesis testing, and experimental design
- Familiarity with machine learning concepts
- Basic understanding of data ingestion pipelines, data partitioning, and performance optimization in a cloud environment
Responsibilities
- Analyze extensive data from robot operations to identify key factors causing stoppages and performance issues
- Develop methodologies to slice and dice data meaningfully, uncovering trends and insights that inform decision-making
- Support the autonomy team by providing data-driven insights on system performance, failures, and optimization opportunities
- Define, manage, and refine key performance indicators (KPIs) for feature development and deployment
- Build and maintain dashboards and reporting tools to help engineering teams to get insights in robot performance
- Define frameworks to measure the statistical significance of metrics collected in production and testing environments
- Support A/B testing and experimental analysis for new autonomy features
Other
- 3+ years of experience in data modeling and analysis, preferably in robotics, autonomous systems, or logistics
- Ability to clearly communicate data findings and help turn insights into practical next steps for stakeholders
