

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Irving, TX (Hybrid) for a 12-month contract, offering a pay rate of "XXX". Requires 2+ years in data science, SQL, PySpark, Python, and ML deployment in AWS/Azure. Bachelor's degree required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 1, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
1099 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Irving, TX
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π§ - Skills detailed
#PySpark #AWS (Amazon Web Services) #Python #Computer Science #Docker #Kubernetes #Libraries #ML (Machine Learning) #AI (Artificial Intelligence) #Databricks #Customer Segmentation #Azure #Deployment #SQL (Structured Query Language) #Spark (Apache Spark) #Data Science
Role description
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Title: Data Scientist
Location: Irving, TX (Hybrid)
Duration: 12 Months Contract
Job Description:
Role:-
You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers have solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, engineers take many hats to see projects to completion.
Key Responsibilities:
Β· Research, prototype, and develop AI solutions to build personalized systems.
Β· Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products.
Β· Stay up to date with emerging technology and learn new technologies/libraries/frameworks.
Β· Learn and partner with peers across multiple disciplines, such as data, product, and systems design.
Β· Deliver on time with a high bar on quality of research, innovation, and engineering.
Basic Qualifications:
Β· 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
Β· 2+ years of experience with SQL, PySpark and Python.
Β· 2+ years of experience training, evaluating, and deploying Machine Learning models.
Β· 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
Β· Familiarity with containerized application tooling and deployments (Docker/Kubernetes).
Β· Bachelorβs Degree or higher in Computer Science/Engineering/Math, or relevant experience.
Extra Credit:
Β· Experience with Databricks platform.
Β· Experience building ML models with large amounts of structured and unstructured data.