Director of Data Science

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

Pay:

$80,480.63 - $96,922.91 per year

Benefits:

401(k) 401(k) matching Dental insurance Health insurance Life insurance Paid time off Parental leave Vision insurance

Work Location:

In person