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Data Science Bank Jobs in Texas (NOW HIRING)

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

TBK Bank, SSB is 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 ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

They are looking for a Director of Data Science to design and operationalize quantitative models ... A State Savings Bank headquartered in Dallas, Texas, TBK Bank is a subsidiary of Triumph Financial ...

Triumph

Director of Data Science

Dallas, TX · On-site

They are looking for a Director of Data Science to design and operationalize quantitative models ... and banking solutions, powered by The Triumph Network. Founded in 2010, the company is ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

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 ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

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 ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$138K - $272K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation data science products. * Experience in bank card/credit card business, consulting, retail, marketing ...

Bread Financial

Data Scientist

Frisco, TX · On-site +1

$104K - $180K/yr

Job Summary The Senior Associate Data Science role at Bread Financial delivers best-in-class ... Experience in Marketing, Bank card business, Credit card business, Consulting, Retail, or Financial ...

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All JobsData Science Bank JobsData Science Bank Jobs in Texas

Data Science Bank information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data science bank jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science bank in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist in banking, and why are they important?

To thrive as a Data Scientist in banking, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with machine learning libraries, and knowledge of data visualization and big data platforms such as SQL, Hadoop, or Spark are crucial. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable strategies for non-technical stakeholders. These skills ensure accurate risk assessment, fraud detection, and data-driven decision-making in the highly regulated financial sector.

What is the role of data science in banking?

Data science in banking involves analyzing large datasets to improve decision-making, detect fraud, assess credit risk, and personalize customer services. Data scientists use tools like machine learning and statistical models to optimize operations and develop predictive insights within the financial environment.

Do data scientists work at banks?

Yes, data scientists work at banks to analyze financial data, develop predictive models, and improve decision-making processes. They often use tools like Python, R, and SQL and may require knowledge of finance and machine learning techniques.

What does a Data Science professional do in a bank?

A Data Science professional in a bank leverages data analysis, statistical modeling, and machine learning to solve business problems and improve decision-making. Their work often involves analyzing customer behavior, detecting fraud, assessing credit risk, and optimizing marketing strategies. They collaborate with other departments to turn raw data into actionable insights, ensuring the bank remains competitive and compliant with regulations. By building predictive models and dashboards, they help the bank enhance efficiency, profitability, and customer satisfaction.

What is the salary of a bank data scientist?

A bank data scientist typically earns between $80,000 and $130,000 annually, depending on experience, location, and education. Senior roles or those with specialized skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

Is 40 too late for data science?

Data science roles are open to candidates of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a Data Scientist at a bank typically contribute to cross-functional teams, and what collaboration challenges might they face?

As a Data Scientist in a banking environment, you will frequently collaborate with teams from IT, risk management, marketing, and business strategy to develop data-driven solutions. This might involve translating complex analytical findings into actionable insights for non-technical stakeholders or integrating models into existing business processes. Common challenges include aligning data science objectives with business goals, managing data privacy concerns, and ensuring clear communication across different departments. Building strong relationships and maintaining open communication channels are essential for overcoming these challenges and delivering impactful results.
What are popular job titles related to Data Science Bank jobs in Texas? For Data Science Bank jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Bank jobs in Texas look for? The top searched job categories for Data Science Bank jobs in Texas are:
Data Science Bank jobs near you
Infographic showing various Data Science Bank job openings in Texas as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.
Director of Data Science

Director of Data Science

TBK Bank, SSB

Dallas, TX • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
TBK Bank, SSB is 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 to translate large-scale transportation data into trusted insights.
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:
A State Savings Bank headquartered in Dallas, Texas, TBK Bank is a subsidiary of Triumph Financial. (Nasdaq: TFIN). Founded in 2015, the company is headquartered in Dallas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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