Senior Data Scientist — Individual Contributor

Role Overview

We are hiring a senior individual contributor to join our Data Science team. This is a hands-on role for someone who can take ownership of the full solution, from understanding the problem and building the required data pipelines to developing the model, deploying it, and keeping it reliable in production.

What You Will Do

Own projects end to end: stakeholder discussions, problem framing, data exploration, modeling, validation, deployment, and post-launch monitoring. Build predictive and prescriptive models over large-scale vehicle telemetry, diagnostics, and fault data.

Why It Might Be a Fit

You will see your work in production and understand its impact on real fleets. You will have the freedom to challenge assumptions and find better approaches.

Requirements

• MSc in Computer Science or an engineering-related quantitative field
• At least eight years of industry experience in a related data science or machine learning role
• Proven experience taking machine learning solutions to production
• Strong experience building reliable, performant, and well-tested data pipelines over very large datasets
• Experience with Spark, distributed computing, SQL, and modern big data platforms
• Practical experience with automated testing and deployment, cloud-based systems, workflow orchestration, monitoring, and production troubleshooting
• Excellent Python skills and fluency with PyTorch
• Demonstrated ability to work comfortably across data science, data engineering, model deployment, and production systems
• Very good English communication skills, with the ability to present clearly to business stakeholders and C-level audiences

Benefits

• A fast-moving environment with a startup mentality and the scale, data, and customers required to create real impact
• Broad ownership across data, modeling, deployment, and production systems
• Hard problems worth solving, with the freedom to challenge assumptions and find better approaches
• Work that reaches production and measurably reduces cost and downtime for fleets across four continents