Director of Data Science
Dallas, TX · On-site
Job Summary : Triumph is a forward-thinking company focused on creating a seamless freight ... while managing a data science team and ensuring model reliability and transparency.
2 Triumph Contracts Manager Jobs Hiring Near You
Director of Data Science
Dallas, TX · On-site
Job Summary : Triumph is a forward-thinking company focused on creating a seamless freight ... while managing a data science team and ensuring model reliability and transparency.
Phone Sales Representative
$72K - $150K/yr
... group of high-performing sales professionals in the West Palm Beach area. This is a Salary/Base ... Build and manage your own book of business (client portfolio) * Consistently meet or exceed sales ...
Phone Sales Representative
$72K - $150K/yr
... group of high-performing sales professionals in the West Palm Beach area. This is a Salary/Base ... Build and manage your own book of business (client portfolio) * Consistently meet or exceed sales ...
Triumph Group Jobs Information
What is it like to work at Triumph?
Triumph is a company that values innovation, quality, and customer satisfaction, fostering a culture of collaboration and continuous improvement. As a leading manufacturer of motorcycles and other high-performance vehicles, Triumph offers a dynamic work environment with a diverse team of engineers, designers, and technicians working together to develop cutting-edge products. For those passionate about the motorcycle industry and seeking a challenging yet rewarding career, working at Triumph may appeal to those who value hands-on creativity, technical expertise, and a sense of community.
What makes Triumph an attractive place to work?
Triumph is a well-established and respected global company in the aerospace and industrial sectors, known for its commitment to innovation and quality. The company offers a dynamic work environment that fosters collaboration, creativity, and continuous learning, with opportunities for employees to contribute to cutting-edge projects and develop their skills. By joining Triumph, individuals can be part of a global organization that values employee growth and development, offering a range of opportunities for professional advancement and making a meaningful impact in the industry.
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Job description
Job Summary:
Triumph is a forward-thinking company focused on creating a seamless freight transaction network. They are looking for a Director of Data Science to design and operationalize quantitative models that enhance intelligence solutions for transportation, while managing a data science team and ensuring model reliability and transparency.
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.
• Continuously evaluate new data sources, modeling approaches, and techniques relevant to transportation, logistics, and network-based intelligence.
Qualifications:
Required:
• 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.
• Demonstrated ability to build models that support decision making, optimization, or market intelligence.
• 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.
Preferred:
• Experience working with transportation, logistics, supply chain, or network-based data.
• Strong expertise in Regression & tree-based models (e.g., XGBoost, Random Forest)
• Strong expertise in Time series forecasting (e.g., SARIMAX, Prophet, TFT)
• Strong expertise in 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.
• Experience supporting intelligence, analytics, or data products used by external customers.
• Experience working with large-scale datasets in cloud environments and data pipelines (e.g., Snowflake, AWS, Sagemaker)
Company:
Triumph is a financial and technology company serving the transportation industry with pioneering payments, factoring, intelligence and banking solutions, powered by The Triumph Network. Founded in 2010, the company is headquartered in Dallas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Triumph is a forward-thinking company focused on creating a seamless freight transaction network. They are looking for a Director of Data Science to design and operationalize quantitative models that enhance intelligence solutions for transportation, while managing a data science team and ensuring model reliability and transparency.
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.
• Continuously evaluate new data sources, modeling approaches, and techniques relevant to transportation, logistics, and network-based intelligence.
Qualifications:
Required:
• 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.
• Demonstrated ability to build models that support decision making, optimization, or market intelligence.
• 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.
Preferred:
• Experience working with transportation, logistics, supply chain, or network-based data.
• Strong expertise in Regression & tree-based models (e.g., XGBoost, Random Forest)
• Strong expertise in Time series forecasting (e.g., SARIMAX, Prophet, TFT)
• Strong expertise in 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.
• Experience supporting intelligence, analytics, or data products used by external customers.
• Experience working with large-scale datasets in cloud environments and data pipelines (e.g., Snowflake, AWS, Sagemaker)
Company:
Triumph is a financial and technology company serving the transportation industry with pioneering payments, factoring, intelligence and banking solutions, powered by The Triumph Network. Founded in 2010, the company is headquartered in Dallas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.