Data Scientist, Freight Intelligence & ML

genlogs-corporation; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare

Unlimited PTO

Parental leave

Professional development budget

Travel reimbursement

401(k)

Job summary

GenLogs is shaping the next generation of truck intelligence by turning sensor data into actionable insights for freight operators and regulators. The Data Science team builds models and analytics to detect patterns, track vehicles, and deliver compliant, scalable solutions.

You will work at the intersection of engineering, math, and ML, tackling ambiguous problems with data-driven methods and collaborating across product and engineering teams to deliver impactful results.

Qualifications

• 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; 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)

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

Data Science

Machine Learning

Software Engineering

Python

AWS

Computer Vision

Geospatial Analysis

Tools

PyTorch

Pandas

Scikit-learn

OpenCV

Job description

GenLogs is shaping the next generation of truck intelligence by turning sensor data into actionable insights for freight operators and regulators. The Data Science team builds models and analytics to detect patterns, track vehicles, and deliver compliant, scalable solutions.

You will work at the intersection of engineering, math, and ML, tackling ambiguous problems with data-driven methods and collaborating across product and engineering teams to deliver impactful results.