Mastech Digital

Sr Data Scientist

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 14, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Irving, TX
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🧠 - 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€’ Bachelor’s 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.