

Mastech Digital
Sr Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown," offering a pay rate of "unknown," and requires expertise in Python, SQL, and machine learning model deployment in AWS or Azure. A Bachelor's degree in a relevant field is mandatory.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
February 14, 2026
π - Duration
Unknown
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Irving, TX
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π§ - Skills detailed
#Computer Science #Customer Segmentation #AI (Artificial Intelligence) #Scala #Mathematics #ML (Machine Learning) #Databricks #SQL (Structured Query Language) #Docker #Data Science #AWS (Amazon Web Services) #Spark (Apache Spark) #Datasets #PySpark #Python #Azure #Visualization #Kubernetes #Deployment
Role description
Role Overview
Seeking a Senior Data Scientist to join its AI Center of Excellence (AI COE) team. This role focuses on researching, designing, and deploying scalable AI/ML solutions that enhance customer experience, enable innovative digital products, and drive store revenue growth.
Key Responsibilities
β’ Research, prototype, and develop AI/ML solutions for personalization and customer intelligence.
β’ Build, train, evaluate, and deploy machine learning models in production environments.
β’ Perform statistical experiments and analyze model performance post-deployment.
β’ Analyze and segment structured and unstructured customer data; present insights through effective visualizations.
β’ Collaborate cross-functionally with product, engineering, and data teams to deliver end-to-end AI solutions.
β’ Stay current with emerging AI/ML technologies and continuously improve engineering quality and innovation standards.
β’ Mentor junior data scientists and lead complex project initiatives.
Required Qualifications
β’ 4+ years of experience in statistical data science, feature engineering, and customer segmentation.
β’ 4+ years of hands-on experience with Python, SQL, and PySpark.
β’ 4+ years of experience training, evaluating, and deploying ML models.
β’ Experience productionizing ML workloads in AWS or Azure environments.
β’ Experience with containerization tools such as Docker and Kubernetes.
β’ Bachelorβs degree or higher in Computer Science, Engineering, Mathematics, or related field.
Preferred Qualifications
β’ Experience with Databricks platform.
β’ Experience building ML models using large-scale structured and unstructured datasets.
β’ Prior experience leading/mentoring data science teams.
Role Overview
Seeking a Senior Data Scientist to join its AI Center of Excellence (AI COE) team. This role focuses on researching, designing, and deploying scalable AI/ML solutions that enhance customer experience, enable innovative digital products, and drive store revenue growth.
Key Responsibilities
β’ Research, prototype, and develop AI/ML solutions for personalization and customer intelligence.
β’ Build, train, evaluate, and deploy machine learning models in production environments.
β’ Perform statistical experiments and analyze model performance post-deployment.
β’ Analyze and segment structured and unstructured customer data; present insights through effective visualizations.
β’ Collaborate cross-functionally with product, engineering, and data teams to deliver end-to-end AI solutions.
β’ Stay current with emerging AI/ML technologies and continuously improve engineering quality and innovation standards.
β’ Mentor junior data scientists and lead complex project initiatives.
Required Qualifications
β’ 4+ years of experience in statistical data science, feature engineering, and customer segmentation.
β’ 4+ years of hands-on experience with Python, SQL, and PySpark.
β’ 4+ years of experience training, evaluating, and deploying ML models.
β’ Experience productionizing ML workloads in AWS or Azure environments.
β’ Experience with containerization tools such as Docker and Kubernetes.
β’ Bachelorβs degree or higher in Computer Science, Engineering, Mathematics, or related field.
Preferred Qualifications
β’ Experience with Databricks platform.
β’ Experience building ML models using large-scale structured and unstructured datasets.
β’ Prior experience leading/mentoring data science teams.






