Data Scientist

A globally acclaimed Physical AI and Connected Vehicle technology leader developing advanced onboard intelligence and connected telematics platforms ("smart black box") for the modern automotive ecosystem.Leveraging massive-scale data ingestion and sophisticated machine learning, the company delivers real-time behavioral analytics and predictive insights utilized by major automotive OEMs, Tier-1 suppliers, and massive enterprise fleets across four continents.With an unrivaled technological moat and strong institutional backing from a premier private equity group, the organization tackles complex algorithmic challenges spanning billions of sensory data points daily.The company is located in the Sharon region and operates on a hybrid model with two days working from homeRole Description-Serving as a Senior Data Scientist (Hands-on IC), reporting directly to the VP Data Science and taking complete end-to-end ownership of sophisticated DS/ML initiatives—from problem framing and hypothesis generation to production deployment and long-term monitoring.Architecting and developing machine learning solutions operating over massive-scale Vehicle Telemetry, Multi-sensor signals, and Fault data processing billions of daily data points with high noise and weak/delayed ground truth labels.Applying diverse modeling paradigms, combining Classical Machine Learning, Advanced Statistical Modeling, Survival Analysis, and Deep Learning architectures tailored for raw multivariate time-series signals.Designing, integrating, and deploying cutting-edge LLM-based pipelines and Agentic workflows into live production systems.Building and optimizing scalable Data Pipelines, Distributed Computing workflows, and ML Infrastructure in tight alignment with production engineering teams.Monitoring, evaluating, and maintaining model health, latency, and predictive performance in mission-critical customer-facing production environments.Requirements-Master’s Degree (M.Sc.) or Ph.D. in a technical/quantitative field (Computer Science, Data Science, Electrical Engineering, Statistics, Physics, or Mathematics) – Mandatory7+ years of total experience as a Data Scientist – Mandatory5+ years of practical, post-academic Data Science experience in the industry – MandatoryStrong, advanced software engineering capabilities in Python (scientific stack, ML libraries, and production-grade code) – MandatoryProven track record deploying complex ML / DL models to live Production environments – MandatoryDeep expertise working with large-scale datasets, noisy sensory signals, time-series telemetry, or distributed data frameworks – Significant AdvantageHands-on experience with modern GenAI, LLMs, and Agentic frameworks in production – AdvantageBackground in Automotive, IoT, or Physical AI ecosystems – Advantage155094