Data Scientist

About the Role You're a problem solver at heart, thriving at the intersection of engineering, math, and machine learning. You bring a strong technical foundation and enjoy applying it to real-world ML challenges in GenLogs' freight intelligence platform. What You'll Do

• Build machine-learning systems that power advanced logistics intelligence products.
• 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 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. What We're Looking For
• 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 with cloud-based data tooling (Snowflake, AWS) is a plus.
• Strong programming skills in Python and familiarity with PyTorch, Pandas, Scikit-learn, etc.
• Comfortable working with real-world messy datasets (sensor data, imagery, telematics, transactional freight data). Nice to Have
• Experience with cloud-based data tooling (Snowflake, AWS) is a plus. Compensation & Benefits
• Salary range not disclosed; equity grants are included in most full-time offers. A recruiter will provide precise range during the hiring process.
• Healthcare (US-based) with employer-covered medical, dental, and vision plans; premium contributions for optional higher-end plans.
• Time Off: Unlimited PTO, sick leave, company holidays, flexible leave for caregiving and medical needs, and paid parental leave.
• Professional Development budget for courses, certifications, and training.
• Travel: 100% travel reimbursement for approved company travel.
• Retirement Savings: 401(k) plan (US-based employees).