AgreeYa Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Dallas, TX, fully onsite for 6 months at a pay rate of "X". Key skills include Databricks, PySpark, advanced SQL, and experience with ML pipelines and GenAI/LLM solutions.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Modeling #Slowly Changing Dimensions #Spark (Apache Spark) #Data Pipeline #NLP (Natural Language Processing) #Databricks #AI (Artificial Intelligence) #Data Science #PySpark #ML (Machine Learning) #Python #Batch #Azure
Role description
Title- Data Scientist
Location- Dallas, TX- Fully Onsite From Day-1
Job Description-
• Design, develop, and deploy machine learning models and GenAI/LLM solutions within Databricks and Azure-based environments
• Build and maintain end-to-end ML pipelines covering feature engineering, model training, validation, and batch/real-time inference
• Strong Databricks and PySpark experience.
• Advanced SQL and data modeling for slowly changing dimensions / temporal mappings.
• Experience building production-grade data pipelines.
• Solid Python skills and familiarity with Gen AI, LLM, NLP and ML workflows.
• Familiarity with Unity Catalog
• Familiarity with Azure
• Good team player role
Title- Data Scientist
Location- Dallas, TX- Fully Onsite From Day-1
Job Description-
• Design, develop, and deploy machine learning models and GenAI/LLM solutions within Databricks and Azure-based environments
• Build and maintain end-to-end ML pipelines covering feature engineering, model training, validation, and batch/real-time inference
• Strong Databricks and PySpark experience.
• Advanced SQL and data modeling for slowly changing dimensions / temporal mappings.
• Experience building production-grade data pipelines.
• Solid Python skills and familiarity with Gen AI, LLM, NLP and ML workflows.
• Familiarity with Unity Catalog
• Familiarity with Azure
• Good team player role
