Lead - Data Scientist - Vehicle Telematics/Industrial IoT/Automotive Diagnostics

Job Description:

- Shape the data science practice: Help shape our ML roadmap and drive outcomes to improve uptime and minimize false positive alerts.

- Engineer robust pipelines: Design ETL pipelines to ingest terabytes of IOT data from diverse vehicle systems. Collaborate with engineering to productionize models.

- Innovate with ML and Generative AI: Build ML algorithms and LLM-based conversational intelligence to power copilots for fleet managers and vehicle technicians.

- Embed domain expertise: Translate vehicle mechanics knowledge into high-value features. Partner with product teams to ground models in real-world behavior.

- Mentor a high-performing team: Grow and coach a data science team. Establish best practices for model monitoring, explainability, and reproducibility.

Mandatory Requirement:

- Experience: 7+ years in data science with at least 3 years in vehicle telematics, Industrial IoT, or automotive diagnostics.

- Technical Skills: Expert in Python, ML, SQL/NoSQL and data streaming platforms, deployment workflows - containerization, CI/CD, model tracking and observability.

- Vehicle Expertise: Deep familiarity with CAN-bus protocols (J1939, OBD-II), telematics standards, and core vehicle systems like engine, transmission, and exhaust.

- Leadership & Communication: Proven track record mentoring teams, delivering production ML models, and translating technical concepts to non-technical stakeholders.

- Startup DNA: You thrive on ambiguity, unafraid to roll up your sleeves, experiment boldly and learn quickly from failed runs.

Whats In It For You?

- Ownership & Impact: Lead data science teams; your work will directly power multimillion-dollar savings for customers.

- Work at the AI Frontier: Innovate with LLMs and real-time ML pushing the boundaries of what's possible with AI, while making it useful and understandable.

- Compensation & Incentives: Benefit from competitive salaries and ESOPs.