What are the responsibilities and job description for the Director of Data Science position at Edge Logistics?
About the Role
Edge Logistics, a top-tier transportation and logistics company, is seeking a Director of Data Science to lead the development of advanced analytics, pricing models, and data-driven decision-making across the organization and its affiliated entities.
This role will be responsible for building and scaling a high-impact data science function that directly influences pricing strategy, operational efficiency, profitability, and growth initiatives across brokerage, asset-based transportation, factoring, and real estate operations.
The ideal candidate brings deep experience in transportation/logistics, strong technical leadership, and a proven ability to translate complex data into actionable business outcomes.
Key ResponsibilitiesData Strategy & Leadership
- Build and lead the company’s data science and analytics function
- Define and execute a data roadmap aligned with business objectives across multiple entities
- Partner with executive leadership to drive data-driven decision-making
Pricing & Revenue Optimization
- Develop and maintain dynamic pricing models leveraging market data (e.g., DAT, internal data, seasonality, load volumes)
- Build forecasting models for rate optimization, margin improvement, and bid strategy
- Design tools to support real-time quoting and pricing automation
Operational Analytics
- Analyze and improve key metrics such as:
- Cost per mile
- Asset utilization
- Driver productivity
- Network optimization
- Identify inefficiencies and implement data-backed solutions
Data Infrastructure & Integration
- Work with engineering teams to enhance data pipelines (Snowflake, APIs, TMS integrations such as McLeod)
- Ensure availability of clean, structured data across all systems
- Build dashboards and reporting frameworks (Power BI or similar)
Advanced Modeling & AI
- Develop predictive models for:
- Demand forecasting
- Capacity planning
- Risk assessment (credit, fraud, carrier selection)
- Explore AI/ML applications across operations and customer experience
Cross-Entity Support
- Provide analytics and modeling support across:
- Edge Logistics (brokerage)
- Russell Transport (asset-based carrier)
- Atlas Factoring
- Mills Escrow
- Standardize data practices and reporting across entities
Qualifications
- Required:
- 7 years in data science, analytics, or related field
- Direct experience in transportation, logistics, or supply chain (brokerage or asset-based preferred)
- Strong background in pricing, forecasting, or operational analytics
- Technical Skills:
- Python, SQL, and data modeling frameworks
- Experience with Snowflake or similar data warehouses
- Familiarity with TMS platforms (McLeod, TMW, etc.)
- BI tools (Power BI, Tableau, etc.)
- Leadership:
- Experience building or leading data teams
- Ability to communicate insights to non-technical stakeholders
- Strong business acumen and execution mindset
- Preferred:
- Experience with DAT/market pricing tools
- Background in logistics network optimization or freight economics
- M&A or multi-entity environment experience
What Success Looks Like
- Implementation of dynamic pricing engine improving margins
- Real-time dashboards driving operational decisions
- Measurable improvements in cost, utilization, and profitability
- Scalable data infrastructure supporting growth across entities
Why Join Us
- Opportunity to build and lead a mission-critical function
- Direct impact on revenue, profitability, and strategic growth
- Exposure to multiple business lines across a growing platform
- Entrepreneurial environment with strong executive support