Data Scientist
Posted 18ds ago
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Job Description
Data Scientist transforming large-scale logistics data into business insights for Catena Clearing. Collaborating with cross-functional teams to empower product direction and customer success through data.
Responsibilities:
- Analyze large-scale telematics and execution data across fleets, lanes, and time
- Identify patterns in capacity, utilization, dwell, reliability, HOS, and asset behavior
- Develop metrics and summaries that reflect real-world freight performance
- Build and maintain large-scale sandboxes (1,000+ vehicles) using masked or synthetic data
- Create compelling examples for sales, pilots, and customer conversations
- Partner with GTM to turn raw data into clear ROI stories and proof points
- Surface data-driven insights that influence roadmap priorities
- Validate assumptions about customer use cases with real network data
- Help define “decision-grade” metrics that customers actually trust
- Work closely with product, engineering, and FDEs to understand data nuances
- Support pilots and strategic accounts (e.g., TMS, visibility, broker platforms)
- Translate technical findings into clear narratives for non-technical audiences
- Help define data quality checks, thresholds, and confidence measures
- Assist in shaping normalized views (lane history, asset identity, availability)
- Focus on interpretability and usability over black-box modeling
Requirements:
- 3–6+ years in data science, analytics, or applied research roles
- Experience in logistics, supply chain, marketplaces, or networked platforms is a big plus
- Strong analytical foundation with experience in Python, SQL, and data analysis workflows
- Comfort working with large, messy, real-world datasets
- Ability to reason about operational systems using imperfect data
- Experience turning analysis into clear business insights and narratives
- Strong communication skills across technical and non-technical teams
- Comfortable working in ambiguity and early-stage environments.
Benefits:
- Professional development opportunities
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