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

7–10 years of professional experience in Data Science, Machine Learning, or Software Engineering
Past experience leading teams of engineers and machine learning specialists
Technical foundation in engineering, physics, math, computer science, or related applied fields
Experience deploying or building models using: Machine learning fundamentals (classification, clustering, time-series, anomaly detection), Computer vision (OCR, object detection, embeddings), Geospatial data analysis (mapping, clustering, location intelligence), Association/sequence pattern mining, feature engineering, or algorithm development
Experience working with cloud-based data tooling (Snowflake, AWS) — not required but nice to have
Strong programming skills in Python and comfort with modern data/ML libraries (PyTorch, Pandas, Scikit-learn, etc.)
Comfort working with real-world messy datasets (sensor data, imagery, telematics, transactional freight data)

Healthcare (US based only)
Employer-covered comprehensive medical, dental, and vision plans
Employer contribution towards premiums of optional higher-end plans
Unlimited PTO
Sick leave
Company holidays (GenLogs observes all US Government holidays)
Flexible leave for caregiving and medical needs
Paid parental leave
Budget availability for approved professional development courses, certifications, and training
100% travel reimbursement for all approved company travel and spending
401(k) plan (US based employees)

Data Scientist Manager

Key skills