Jobs and Careers
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Automotive Data Scientist

Toyota North America
United Statesfull_timeVerifiedPosted 14 Aug 2025

About the role

Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Who we’re looking for

Toyota’s R&D Division is looking for a passionate and highly motivated Data Analytics Engineer specializing in vehicle data evaluation.

Reporting to the R&D Senior Manager, the primary responsibility of this role is to lead the analysis and interpretation of vehicle data to drive innovation and improve vehicle performance.

What you’ll be doing

  • Lead the design and optimization of robust, scalable data pipelines for ingesting and analyzing vehicle telemetry, diagnostics, and sensor data at scale.

  • Serve as a technical authority in vehicle data analytics, guiding data strategy and influencing product and engineering roadmaps.

  • Develop high-impact dashboards, models, and tools to derive actionable insights from vehicle performance and usage data.

  • Mentor junior engineers and analysts, promoting best practices in data quality, governance, and engineering.

  • Partner closely with stakeholders across R&D, product, embedded systems, and operations to frame complex business and engineering challenges as data problems.

  • Drive initiatives involving advanced analytics, predictive modeling, and anomaly detection to support vehicle reliability, safety, and operational efficiency.

  • Own the full data lifecycle from ingestion through visualization, ensuring reliability, scalability, and performance.

  • Create detailed action plan to implement projects, considering new tools & processes for development and create standard processes for subsequent projects.

  • Determine feasibility of new ideas considering program targets, cost, mass, timing, side effects, and risk management.

  • Prepare presentations and report-out to Toyota Senior Management, External Conferences, or Media.

What you bring

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical/Mechanical Engineering, or a related field.   

  • 5+ years of experience in data analytics or engineering roles, with at least 2 years focused on vehicle or IoT data.

  • 3+ years using SQL and Python (including data manipulation and statistical analysis libraries such as Pandas, NumPy, and SciPy).

  • 3+ years building and maintaining data pipelines using tools like Airflow, dbt, Spark, or similar.

  • 3+ years working with vehicle data ecosystems: CAN bus, OBD-II, telematics, GPS, IMUs, and related protocols.

  • 3+ years working with cloud-native data stacks (AWS/GCP/Azure) and modern data warehousing (e.g., BigQuery, Snowflake

  • 3+ years experience translating complex vehicle and engineering concepts into actionable data insights for both technical and non-technical audiences.

  • Willingness to travel both domestically and internationally, up to 10% of the time.

  • Willingness to work overtime up to 20% of the time.

Added bonus if you have

  • 3+ years experience in electric or autonomous vehicle systems, advanced driver-assistance systems (ADAS), or vehicle control systems.

  • 2+ years working with streaming and real-time analytics tools (e.g., Kafka, Flink, Spark Streaming). 

  • 3+ years experience with statistical modeling, anomaly detection, or predictive maintenance for complex systems.

  • 2+ years experience working in regulated environments with safety-critical systems or high-availability requirements.

  • Publications, patents, or open-source contributions in the field of automotive data, fleet analytics, or IoT.

  • Leadership in cross-functional project planning, technical architecture reviews, or data governance initiatives.

What we’ll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

  • A work environment built on teamwork, flexibility, and respect

  • Professional growth and development programs to help advance your career, as well as tuition reimbursement

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Company

Toyota North America

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