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Model Validation Jobs in Dallas, TX (NOW HIRING)

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... design, and model validation. - Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark). - Familiarity with data ...

... model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models. • Partner closely with product, analytics, and ...

... model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models. • Partner closely with product, analytics, and ...

... model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models. • Partner closely with product, analytics, and ...

Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and ...

Experience with AI governance processes, including AI use case tracking, model risk classification ... Drive validation and compliance activities for complex GxP systems as a Senior Consultant ...

Experience with AI governance processes, including AI use case tracking, model risk classification ... Drive validation and compliance activities for complex GxP systems as a Senior Consultant ...

Experience with AI governance processes, including AI use case tracking, model risk classification ... Drive validation and compliance activities for complex GxP systems as a Senior Consultant ...

Experience with AI governance processes, including AI use case tracking, model risk classification ... Drive validation and compliance activities for complex GxP systems as a Senior Consultant ...

Experience with AI governance processes, including AI use case tracking, model risk classification ... Drive validation and compliance activities for complex GxP systems as a Senior Consultant ...

Experience with AI governance processes, including AI use case tracking, model risk classification ... Drive validation and compliance activities for complex GxP systems as a Senior Consultant ...

Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models. * Partner closely with product ...

Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models. * Partner closely with product ...

Showing results 41-60

Model Validation information

See Dallas, TX salary details

$22

$51

$77

How much do model validation jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for model validation in Dallas, TX is $51.44, according to ZipRecruiter salary data. Most workers in this role earn between $38.99 and $62.55 per hour, depending on experience, location, and employer.

What is a model validation?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are the key skills and qualifications needed to thrive in the model validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What are some common challenges faced by professionals in model validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

What are the most commonly searched types of Model Validation jobs in Dallas, TX?

The most popular types of Model Validation jobs in Dallas, TX are:

What are popular job titles related to Model Validation jobs in Dallas, TX?

For Model Validation jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Model Validation jobs in Dallas, TX look for?

The top searched job categories for Model Validation jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Model Validation jobs?

Cities near Dallas, TX with the most Model Validation job openings:

Infographic showing various Model Validation job openings in Dallas, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Data Scientist

Select Minds LLC

Dallas, TX • On-site

$65 - $75/hr

Full-time

Re-posted 28 days ago


Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Job Title: Data Scientist – Integrated Operations
Location: Dallas, TX (Hybrid Remote)
In-Person Interview
 Must be authorized to work in the U.S

Work Arrangement
- Hybrid work model: primarily remote within the Dallas–Fort Worth area.
- Occasional on-site presence required for meetings, training, or business needs.
- Limited business travel may be required.
Roles &  Responsibilities
.               6+ years of experience in Machine Learning and Data Science.
•            Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and       algorithms.
•            Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
•            Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
•            Experience in building Asynchronous Python APIs.
•            Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
•            Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
•            Proven experience in developing and deploying machine learning models in a production environment.
•            Experience working with large datasets and performing data analysis
Required Qualifications
Education
- Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience.
Experience
- Advanced experience in data science, machine learning, AI, or optimization projects.
- Proficiency in Python and SQL.
- Strong understanding of statistical methods, experimental design, and model validation.
- Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).
- Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).
Preferred Experience
- Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).
- Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.

Skills & Abilities

- Ability to independently manage and deliver on complex projects.
- Strong problem-solving and critical thinking skills.
- Effective communication skills for both technical and executive audiences.
- Ability to adapt quickly to changing priorities and new technologies.
- Strong interpersonal and collaboration skills.
.....