

KellyMitchell Group
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Irving, Texas, with a contract duration of over 6 months and a pay rate of $115,000-$128,000. Key skills include SQL, Python, machine learning, and experience with MarTech platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
581
-
ποΈ - Date
January 17, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Irving, TX
-
π§ - Skills detailed
#Python #SQL (Structured Query Language) #Data Science #AI (Artificial Intelligence) #A/B Testing #AWS (Amazon Web Services) #Customer Segmentation #ML (Machine Learning) #Spark (Apache Spark) #Computer Science #Azure #PySpark
Role description
Job Summary
Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas.
Duties
β’ Build, evaluate, and deploy models to identify and target customer segments for personalized experiences and marketing
β’ Design, run, and analyze A/B tests and other online experiments to measure the impact of new features, campaigns, and product changes
β’ Research, prototype, and develop AI solutions for personalized systems and customer segmentation
β’ Design and analyze online controlled experiments (A/B tests) to validate hypotheses and measure business impact
β’ Build, deploy, and analyze AI solutions; perform statistical experiments when deploying new AI products
Desired Skills/Experience:
β’ Bachelorβs Degree in Computer Science/Engineering/Math, or relevant experience
β’ 2+ years of experience with statistical data science techniques, feature engineering, and customer segmentation
β’ 2+ years of experience with SQL, PySpark, and Python
β’ 2+ years of experience training, evaluating, and deploying machine learning models
β’ 2+ years of experience productionizing and deploying ML workloads in AWS/Azure
β’ Experience working with MarTech platforms such as: CDPs, DMPs, ESPs and integrating data science into marketing workflows
Benefits:
β’ Medical, Dental, & Vision Insurance Plans
β’ Employee-Owned Profit Sharing (ESOP)
β’ 401K offered
The approximate pay range for this position starting at $115,000-$128,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
Job Summary
Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas.
Duties
β’ Build, evaluate, and deploy models to identify and target customer segments for personalized experiences and marketing
β’ Design, run, and analyze A/B tests and other online experiments to measure the impact of new features, campaigns, and product changes
β’ Research, prototype, and develop AI solutions for personalized systems and customer segmentation
β’ Design and analyze online controlled experiments (A/B tests) to validate hypotheses and measure business impact
β’ Build, deploy, and analyze AI solutions; perform statistical experiments when deploying new AI products
Desired Skills/Experience:
β’ Bachelorβs Degree in Computer Science/Engineering/Math, or relevant experience
β’ 2+ years of experience with statistical data science techniques, feature engineering, and customer segmentation
β’ 2+ years of experience with SQL, PySpark, and Python
β’ 2+ years of experience training, evaluating, and deploying machine learning models
β’ 2+ years of experience productionizing and deploying ML workloads in AWS/Azure
β’ Experience working with MarTech platforms such as: CDPs, DMPs, ESPs and integrating data science into marketing workflows
Benefits:
β’ Medical, Dental, & Vision Insurance Plans
β’ Employee-Owned Profit Sharing (ESOP)
β’ 401K offered
The approximate pay range for this position starting at $115,000-$128,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.






