• Build machine-learning systems that power some of the most advanced logistics intelligence products in the industry • Analyze large, noisy datasets from cameras, OCR, detections, and geospatial pipelines to uncover actionable patterns • Design and evaluate algorithms for truck re-identification, geospatial clustering, equipment classification, OCR text labeling, anomaly detection, and more • Collaborate with engineering and data engineering teams to scale models from prototype to production • Work closely with product teams to deeply understand customer needs and translate them into modeling and analytics initiatives • Apply scientific thinking to continuously test, iterate, and refine approaches as new data becomes available

• Lead machine learning teams to production grade solutions, ensure quality of delivery and robustness of the solution, and drive project delivery timelines • Build machine-learning systems that power some of the most advanced logistics intelligence products in the industry • Analyze large, noisy datasets from cameras, OCR, detections, and geospatial pipelines to uncover actionable patterns • Design and evaluate algorithms for truck re-identification, geospatial clustering, equipment classification, OCR text labeling, anomaly detection, and more • Collaborate with engineering and data engineering teams to scale models from prototype to production • Work closely with product teams to deeply understand customer needs and translate them into modeling and analytics initiatives • Apply scientific thinking to continuously test, iterate, and refine approaches as new data becomes available

• Lead the end-to-end development of machine learning and statistical models for traffic prediction, route optimization, congestion analysis, and mobility analytics • Design and implement scalable data pipelines and workflows for processing large-scale geospatial and temporal datasets • Analyze traffic patterns using geospatial data and sensor feeds (GPS, IoT, traffic cameras, etc.) to derive actionable insights • Collaborate with engineering teams to integrate machine learning models into production systems • Conduct exploratory data analysis (EDA), feature engineering, and model evaluation to ensure robust and accurate predictions • Stay current with the latest advancements in machine learning, deep learning, geospatial analytics, and big data technologies • Mentor junior data scientists and provide guidance on best practices for model development and data analysis • Present findings and insights to cross-functional teams, stakeholders, and clients in a clear and actionable manner.

• Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search • Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility • Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems • Design and implement data pipelines to ingest, process, and analyze large volumes of data