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Lead Data Scientist Dallas Tx Hybrid

  • ... Posted on: Jan 06, 2026
  • ... PRIMUS Global Services Inc
  • ... Dallas, Texas
  • ... Salary: Not Available
  • ... Full-time

Lead Data Scientist Dallas Tx Hybrid   

Job Title :

Lead Data Scientist Dallas Tx Hybrid

Job Type :

Full-time

Job Location :

Dallas Texas United States

Remote :

No

Jobcon Logo Job Description :

Lead Data Scientist - 66914

Pay Range - $50 - $55/hr

We have an immediate long-term opportunity with one of our prime clients for a position Lead Data Scientist to work in Dallas TX on Hybrid basis.

Requirements Summary:

  • Credit card experience but needs to be lending experience of some kind such as HELOC, Mortgage, etc.
  • Python
  • SQL

Nice to have:

  • De-identity experience
  • Master's degree

Overview:

Our Enterprise Data and Analytics team is growing. We're looking for a Lead Data Scientist to assist with building and developing our Data Science team and lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers, support our communities, and make our colleagues lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal.

As we advance our data science and analytics capabilities, we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. We are looking for a leader who has a passion for developing others, driving change, and continuously improving and evolving the application of technologies to meet todays and tomorrow's challenges.

Responsibilities:

  • Prioritizes analytical projects based on business value and technological readiness
  • Performs large-scale experimentation and build data-driven models to answer business questions
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
  • Evangelizes best practices to analytics and products teams
  • Acts as the go-to resource for machine learning across a range of business needs
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
  • Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization
  • Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
  • Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s)
  • Coaches' individuals through change and serves as a role model

Skills:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Ability to train more junior analysts regarding day-to-day activities, as necessary
  • Proven ability to lead cross-functional teams
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
  • Financial Services background preferred

Experience:

  • Master's degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines
  • Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling

**ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W2**

For immediate consideration, please contact:

Ujjal
PRIMUS Global Services
Direct (972) 645-5262
Desk: (972) 753-6500 x 268
Email:

Jobcon Logo Position Details

Posted:

Jan 06, 2026

Employment:

Full-time

Salary:

Not Available

City:

Dallas

Job Origin:

CIEPAL_ORGANIC_FEED

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Lead Data Scientist - 66914

Pay Range - $50 - $55/hr

We have an immediate long-term opportunity with one of our prime clients for a position Lead Data Scientist to work in Dallas TX on Hybrid basis.

Requirements Summary:

  • Credit card experience but needs to be lending experience of some kind such as HELOC, Mortgage, etc.
  • Python
  • SQL

Nice to have:

  • De-identity experience
  • Master's degree

Overview:

Our Enterprise Data and Analytics team is growing. We're looking for a Lead Data Scientist to assist with building and developing our Data Science team and lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers, support our communities, and make our colleagues lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal.

As we advance our data science and analytics capabilities, we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. We are looking for a leader who has a passion for developing others, driving change, and continuously improving and evolving the application of technologies to meet todays and tomorrow's challenges.

Responsibilities:

  • Prioritizes analytical projects based on business value and technological readiness
  • Performs large-scale experimentation and build data-driven models to answer business questions
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
  • Evangelizes best practices to analytics and products teams
  • Acts as the go-to resource for machine learning across a range of business needs
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
  • Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization
  • Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
  • Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s)
  • Coaches' individuals through change and serves as a role model

Skills:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Ability to train more junior analysts regarding day-to-day activities, as necessary
  • Proven ability to lead cross-functional teams
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
  • Financial Services background preferred

Experience:

  • Master's degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines
  • Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling

**ALL successful candidates for this position are required to work directly for PRIMUS. No agencies please only W2**

For immediate consideration, please contact:

Ujjal
PRIMUS Global Services
Direct (972) 645-5262
Desk: (972) 753-6500 x 268
Email:

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