Data Scientist

Summary

GenLogs is a transportation-technology company building the next generation of truck intelligence. The Data Scientist role involves transforming raw data into actionable insights using machine learning and statistical models, collaborating with various teams to develop advanced logistics intelligence products.

Responsibilities

• 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

Skills

• 2–5 years of professional experience in Data Science, Machine Learning, or Software Engineering
• 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
• 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)
• Experience working with cloud-based data tooling (Snowflake, AWS) — not required but nice to have

Qualifications

Must Haves

• 2–5 years of professional experience in Data Science, Machine Learning, or Software Engineering
• 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
• 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)

Nice to Haves

• Experience working with cloud-based data tooling (Snowflake, AWS) — not required but nice to have

Benefits

• 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)