Data Scientist

  • Irving, TX
  • Posted 20 hours ago | Updated 20 hours ago

Overview

Hybrid
$60 - $65
Contract - W2
Contract - 12 Month(s)

Skills

4+ years of experience with SQL
PySpark and Python.

Job Details

We re very excited to inform you that currently we have a potential opportunity for Senior Data Scientist role at TX location. So kindly please let me know if you are interested in this position, and please find the JD as given below. Thank you..

About the job:

You ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI 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 7-Eleven take many hats to see projects to completion.

Key Responsibilities:

  • 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

Extra Credit:

  • Experience with Databricks platform.

  • Experience building ML models with large amounts of structured and unstructured data.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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