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Statistics Data Science Jobs in Dallas, TX (NOW HIRING)

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... The ideal candidate brings strong statistical rigor, experience working with real-world operational ...

They are looking for a Director of Data Science to design and operationalize quantitative models ... Design and execute statistical modeling and experimentation, including hypothesis testing, A/B ...

They are looking for a Director of Data Science to design and operationalize quantitative models ... Design and execute statistical modeling and experimentation, including hypothesis testing, A/B ...

Design and execute statistical modeling and experimentation, including hypothesis testing, A/B ... Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Master's degree in Statistics, Data Science, Mathematics, Computer Science, Actuarial Science, or a related quantitative field, Preferred Education: PhD in a related quantitative field (Statistics ...

Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field. • 8+ years of experience in data science, machine ...

Build scalable data products, models, and decision-support tools using statistical methods, machine ... Serve as a technical mentor to data scientists, analysts, and engineers; raise the bar on coding ...

Bachelor's degree or higher in statistics, mathematics, computer science, life sciences, data science, or related field. * Relevant experience in clinical trial programming, clinical data analysis ...

Showing results 21-40

Statistics Data Science information

See Dallas, TX salary details

$45.5K

$163.2K

$240.9K

How much do statistics data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for statistics data science in Dallas, TX is $163,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $168,200.00 per year, depending on experience, location, and employer.

What jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative researcher. These jobs typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often within technology, finance, healthcare, or consulting industries.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.
What are popular job titles related to Statistics Data Science jobs in Dallas, TX? For Statistics Data Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in Dallas, TX look for? The top searched job categories for Statistics Data Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Statistics Data Science jobs? Cities near Dallas, TX with the most Statistics Data Science job openings:
Infographic showing various Statistics Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $163,241 per year, or $78.5 per hour.

Director of Data Science

TBK Bank, SSB

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Join Triumph!
At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That's why we're looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better.
Director of Data Science
Position Summary
We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions. This role focuses on developing forecasting, optimization, and signal-based models that translate largescale transportation data into trusted insights for carriers, brokers, and shippers. 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.
Key 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.

Required Qualifications
  • 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 Qualifications
  • 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.
  • 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)

We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.
Go on. Do it. Apply Today!