Data Analyst

Toyota Racing Development is seeking a Data Analyst to support racing analytics, telemetry analysis, AI-assisted workflows, and model quality monitoring. This role will work across live and historical racing data to build dashboards, investigate data quality, support training and evaluation workflows, and assess automated AI systems used for transcription, summarization, and analysis. The role will partner closely with Data Scientists, Data Engineers, software development, and technical stakeholders to help translate analytical work into reliable production workflows that support engineering and race-program decision-making. About the Role • Analyze live and historical racing data, including telemetry, timing and scoring, event logs, and related engineering datasets • Build and maintain dashboards for race performance, data quality, model monitoring, and AI output tracking • Investigate data quality issues such as missing data, timestamp alignment problems, schema changes, outliers, and inconsistencies across sources • Monitor models and automated workflows for drift, degradation, and unusual output changes over time • Support training runs, experiment tracking, run comparisons, and evaluation workflows • Improve training and evaluation data quality by identifying labeling issues, imbalance, duplication, and edge-case gaps • Evaluate AI systems for transcription, summarization, and automated analysis for accuracy, consistency, calibration, and operational usefulness • Apply statistical methods such as hypothesis testing, confidence intervals, regression, drift detection, anomaly detection, and error analysis to determine whether performance changes are meaningful • Work closely with Data Scientists and Data Engineers to prepare reliable datasets, evaluation pipelines, and monitoring outputs • Partner with software development to help productionize models, analytics workflows, and AI-assisted systems • Collaborate with engineering teams, stakeholders, and end users to ensure dashboards, metrics, and analytical outputs are decision-useful in race, test, and simulator environments Required Skills • Strong Python and SQL skills • Experience with dashboards, data validation, and production or historical data analysis • Experience working with time-series, telemetry, or similarly complex operational datasets • Working knowledge of statistical methods such as t-tests, confidence intervals, regression analysis, control metrics, drift detection, anomaly detection, and segmented error analysis • Experience investigating data reliability issues across pipelines, sensors, or multi-source datasets • Experience working in AWS or similar cloud environments • Experience using Git for version control and collaborative development • Strong problem-solving skills, attention to detail, and ability to work across technical teams Preferred Skills • Experience with racing, motorsports, vehicle data, or engineering analytics • Experience with model monitoring, experiment tracking, or data quality systems • Experience evaluating AI or ML systems in production workflows • Familiarity with AI-system evaluation for summarization, transcription, retrieval, or automated analysis What We’re Looking For A strong candidate will be technically sharp, skeptical of weak data, and able to distinguish polished output from genuinely accurate and decision-useful analysis. This person should be comfortable working in a high-performance racing environment, partnering across software, data, and engineering teams, and helping analytical and AI systems hold up under real operational conditions.