The Truck Intelligence Platform
Data Scientist
Location
United States
Posted
103 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Scientist
GenLogs
• 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
Job Requirements
- 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
- 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)
Benefits
- 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)
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