Senior Data
Analyst

Job Duties

• Design and implement highly complex metrics and scenarios for self-driving simulations using Python and specialized data analytics libraries.
• Analyze sensor data (lidar, radar, cameras) with a deep understanding of sensor limitations and biases to accurately reflect real-world driving conditions in simulations.
• Validate algorithms and ensure robust performance across a wide range of diverse scenarios through realistic simulation testing.
• Mine and analyze massive datasets generated by simulations using Python and cutting-edge libraries like pandas and Spark.
• Apply advanced statistical methods tailored to self-driving data to extract meaningful and actionable insights for algorithm improvement (e.g., anomaly detection, pattern recognition, causal analysis).
• Identify and diagnose subtle anomalies and patterns in sensor data and simulation results to pinpoint specific areas for algorithm improvement and optimize driving performance.
• Design and develop custom data visualization dashboards using Python and data visualization tools (e.g., Matplotlib, Plotly, Jupyter) to communicate complex findings and insights to diverse stakeholders in a clear and compelling way.
• Manage enormous data storage infrastructure (e.g., Clickhouse, PostgreSQL) and implement state-of-the-art data validation techniques to ensure data integrity and reliability for accurate analysis.
• Create and maintain efficient and scalable data warehouses for efficient data analysis and retrieval.
• Develop and implement innovative machine learning models specifically designed for self-driving simulation data analysis, including the prediction of future behavior under various conditions.
• Collaborate closely with engineers and other stakeholders across disciplines to define and refine simulation scenarios, analyze results, and implement improvements.
• Track and measure the performance of self-driving algorithms through rigorous analysis of simulation data, identifying areas for optimization and improvement.
• Proactively identify and analyze potential safety hazards within simulated scenarios, proposing solutions and mitigation strategies.
• Contribute to the development and advancement of new data analysis methods and techniques specifically tailored for self-driving simulation technology.

Job Requirements

• Master’s Degree in Business Analytics, Management, or a closely related technical field. Foreign equivalent is accepted.
• At least 5 years of experience in data analysis with a strong focus on self-driving simulation technology.
• Expert proficiency in Python programming and a comprehensive understanding of advanced data analytics libraries (pandas, Spark, etc.).
• Extensive expertise in statistical methods specifically designed for self-driving simulation data analysis.
• Proven experience in designing and developing custom data visualization dashboards using Python and modern data visualization tools.
• In-depth knowledge and hands-on experience with self-driving technology processes, algorithms, and sensor systems.
• Exceptional communication skills to effectively present complex findings and insights to diverse audiences, both technical and non-technical.
• Demonstrated ability to identify and solve complex technical challenges related to self-driving simulation data analysis.
• Strong collaborative spirit and ability to work effectively in a fast-paced team environment.
• Exceptional time management skills and the ability to prioritize tasks and meet deadlines.

Please note that the office is located in Austin, TX. At this time, the employer is not sponsoring candidates relocation and remote work options are not available.