Data Scientist Mid AI COE

Description

Data Scientist Mid AI COE

Direct Hire 1099 or W2 only. 

The client is not offering subcontracting for this position.

This role is onsite in Irving, TX.

Overview

We are seeking a Data Scientist to join the AI COE Team!

We’re creating the next generation of convenience, and we know that the best way to do that is with great people. If you get excited about working on challenging problems and owning a solution from concept to implementation, read on.

About the job:

You’ll be joining a multidisciplinary team of scientists, researchers, designers and engineers who research and innovate on the 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 [Company] 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, our engineers take many hats to see projects to completion.

Requirements

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

Extra Credit:

• Experience with AWS Sagemaker and/or Databricks AI/ML platform.
• Experience building ML models with large amounts of structured and unstructured data.