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Data Scientist

This role is for a Data Scientist in Irving, TX, for 12+ months at a pay rate of "unknown." Requires 2+ years in data science, ML model deployment (AWS/Azure), and familiarity with Docker/Kubernetes. Bachelor’s degree in relevant field preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 14, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Irving, TX
🧠 - Skills detailed
#Azure #Data Science #ML (Machine Learning) #Customer Segmentation #Deployment #Kubernetes #Computer Science #Docker #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Libraries
Role description
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Note: Considering only Local candidates in Irving, TX who are willing to work on W2.

Title: Data Scientist

Duration: 12+ Months (Extendable)

Location: Irving, TX (Onsite)

About the job:

You’ll be joining a multidisciplinary team of scientists, researchers, designers and engineers who research and innovate on latest technology to create awesome digital 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. Engineers at 7Next 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 at client take many hats to see projects to completion.

Key Responsibilities:
• Research, prototype, and develop software solutions to solve problems across retail
• 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:
• 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 2+ years of experience training, evaluating and deploying Machine Learning models.
• 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience