Staff Data Scientist, Freight Risk Modeling

Potential Staff Data Scientist Role

Talent Network Notice: This page describes a potential future CargoGuard role. It does not mean CargoGuard is currently hiring for this position, and the responsibilities below describe potential future scope rather than current team structure or operations.

This future role would develop freight-risk and anomaly models that help CargoGuard teams prioritize shipment review. The work could combine shipment, lane, carrier, tracking, and verification signals while keeping model limitations and evidence quality clear.

What You Will Do

• Build predictive risk scores for carriers, lanes, commodities, and individual shipments
• Set the scientific direction for risk modeling across the company
• Design rigorous experiments and causal analyses that prove product impact
• Translate complex findings into clear guidance for product, customer, and leadership teams
• Integrate third-party data sources including FMCSA records, theft reports, and market data
• Mentor data scientists and establish modeling standards and review practices

What We Require

• 10+ years of experience in data science, quantitative risk, or applied statistics, including 3+ years at a staff or principal level
• Ph.D. or M.S. in Statistics, Economics, Operations Research, Computer Science, or a related field
• Mastery of predictive modeling, survival analysis, Bayesian methods, and causal inference
• Expert-level Python and SQL, with experience on Spark, Snowflake, BigQuery, or Databricks
• A record of risk models that drove measurable business outcomes in insurance, lending, fraud, or logistics
• Exceptional ability to communicate technical findings to executive and non-technical audiences
• Demonstrated leadership setting technical strategy across multiple teams

What Sets You Apart

• Actuarial or insurance underwriting modeling experience
• Familiarity with supply chain, transportation, or freight market data
• Published research or patents in risk modeling

About Our Talent Network

This page is part of the CargoGuard Talent Network. It describes a role that may become relevant as the company grows. Submitting your background does not create an employment relationship or guarantee that this position will open.

CargoGuard is an equal opportunity employer. We welcome applicants of every background and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

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