drjobs Data ScientistML Engineer

Data ScientistML Engineer

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1 Vacancy
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Job Location drjobs

Irving, TX - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Position: Data Scientist/ Machine Learning Engineer

Duration: 12 months contract

Location: Irving TX 75063 (Day 1 Onsite)

Job Description:

About the job:

Youll 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 productionready backend engineers at 7Eleven 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)
  • Bachelors 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.

Employment Type

Full Time

Company Industry

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