Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Irving, TX, with a contract length of 12+ months and a pay rate of "unknown." Key skills include SQL, PySpark, and customer data segmentation, requiring 4+ years of relevant experience and a Bachelor’s degree.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Kubernetes #Python #Azure #Deployment #Databricks #SQL (Structured Query Language) #AI (Artificial Intelligence) #Data Science #Libraries #PySpark #Computer Science #ML (Machine Learning) #Spark (Apache Spark) #Customer Segmentation #AWS (Amazon Web Services) #Docker
Role description
Data Scientist Sr
Location: (Irving, TX/onsite 3-5 days
Job ID: 12635-1
Duration: 12+
Summary:
Additional Skills: Experience with
• SQL
• PySpark
• Databricks
• Customer Data Segmentation
• Statistical Analysis
Senior Data Scientist – AI COE
Overview
Looking for a Senior Data Scientist to join the team!
About the job:
You’ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue.
Key Responsibilities:
• Research, prototype, and develop AI/ML solutions to build personalized systems.
• Build, deploy and analyze AI/ML solutions and perform statistical experiments when deploying new AI products.
• Analyze and segment customer data and clearly visualize customer behavior to make product decisions.
• Stay up to date with emerging technology and learn new technologies/libraries/frameworks
• Learn and partner with peers across multiple disciplines, such as data, product, and systems design
• Deliver on time with a high bar on quality of research, innovation and engineering
Basic Qualifications:
• 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 4+ years of experience with SQL, PySpark and Python.
• 4+ years of experience training, evaluating and deploying Machine Learning models.
• 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks.
• Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience
Extra Credit:
• Experience with Databricks platform.
• Experience building ML models with large amounts of structured and unstructured data.
Data Scientist Sr
Location: (Irving, TX/onsite 3-5 days
Job ID: 12635-1
Duration: 12+
Summary:
Additional Skills: Experience with
• SQL
• PySpark
• Databricks
• Customer Data Segmentation
• Statistical Analysis
Senior Data Scientist – AI COE
Overview
Looking for a Senior Data Scientist to join the team!
About the job:
You’ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.
You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue.
Key Responsibilities:
• Research, prototype, and develop AI/ML solutions to build personalized systems.
• Build, deploy and analyze AI/ML solutions and perform statistical experiments when deploying new AI products.
• Analyze and segment customer data and clearly visualize customer behavior to make product decisions.
• Stay up to date with emerging technology and learn new technologies/libraries/frameworks
• Learn and partner with peers across multiple disciplines, such as data, product, and systems design
• Deliver on time with a high bar on quality of research, innovation and engineering
Basic Qualifications:
• 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 4+ years of experience with SQL, PySpark and Python.
• 4+ years of experience training, evaluating and deploying Machine Learning models.
• 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks.
• Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience
Extra Credit:
• Experience with Databricks platform.
• Experience building ML models with large amounts of structured and unstructured data.
