Tbkbank
Director of Data Science
Dallas, TX · Director
Sponsorship not specifiedDetected 31 days ago
PythonSQLSnowflakeAWSCloud PlatformsData EngineeringData ScienceStatisticsA/B TestingForecastingSupply ChainLogisticsCustomer SupportSignal ProcessingLeadershipDemand Planning
About the role
- In addition to hands-on technical leadership, this role may include managing data science talent and helping to scale the function over time as organizational needs evolve.
- The ideal candidate brings strong statistical rigor, experience working with real-world operational data, and a product-oriented mindset for deploying models that influence commercial and operational decisions across transportation networks.
Responsibilities
- Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and network dynamics.
- Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve.
- Design and execute statistical modeling and experimentation, including hypothesis testing, A/B testing, and causal analysis to evaluate market and operational changes.
- Build optimization and decision support models that inform routing, capacity allocation, pricing strategy, and operational trade‑offs.
- Lead signal development for transportation intelligence products, transforming raw transactional and network data into scalable, reliable indicators and indices.
- Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models.
- Partner closely with product, analytics, and engineering teams to translate transportation domain needs into analytically sound, production ready models.
- Document methodologies, assumptions, and limitations to support transparency, internal review, and customer facing confidence in intelligence outputs.
- Demonstrated ability to build models that support decision making, optimization, or market intelligence.
Requirements
- A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required.
- 5-7 years of professional experience in data science, applied statistics, or quantitative analytics.
- Strong experience with forecasting, predictive modeling, and statistical analysis in applied business contexts.
- Strong Python and SQL skills and experience working with large, complex datasets.
- Experience validating models and monitoring performance in production environments.
- Direct experience with model governance frameworks.
- Ability to clearly communicate quantitative insights to both technical and non‑technical stakeholders.
Nice to have
- Experience working with transportation, logistics, supply chain, or network-based data.
- Strong expertise in
- Regression & tree-based models (e.g., XGBoost, Random Forest)
- Time series forecasting (e.g., SARIMAX, Prophet, TFT)
- Statistical modeling of skewed distributions (e.g., log-normal, gamma)
- 2 years in a leadership or people‑management capacity
- Deep understanding of freight market dynamics, including the interaction between spot and contract pricing, broker and carrier economics, and the impact of capacity cycles and seasonality on market behavior.
- Familiarity with time‑series modeling, signal processing, or index construction.
Benefits
- Medical, Dental, Vision, Paid Time Off, 401k and much more.
Company info
- We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions.
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This listing is sourced directly from Tbkbank's careers page and normalized into a canonical job model.