Innorev Technologies Inc
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a 6-month contract, offering a pay rate of "$X per hour." Key skills include 4+ years in SQL, PySpark, Python, and ML model deployment in AWS/Azure. A Bachelor's degree in a relevant field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
May 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#PySpark #AWS (Amazon Web Services) #Deployment #AI (Artificial Intelligence) #Spark (Apache Spark) #Azure #Data Science #Kubernetes #Docker #Computer Science #SQL (Structured Query Language) #ML (Machine Learning) #Libraries #Python #Customer Segmentation
Role description
• 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
• 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
