JB059665 - Data Scientist Mid

USM

$124K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience with statistical data science techniques and feature engineering
  • 2+ years of experience with SQL, PySpark, and Python
  • 2+ years of experience training, evaluating, and deploying Machine Learning models
  • 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure
  • Bachelor's Degree or higher in Computer Science, Engineering, Math, or relevant experience
  • Familiarity with containerized application tooling such as Docker/Kubernetes

Responsibilities

  • Research, prototype, and develop AI solutions for personalized systems
  • Build, deploy, and analyze AI solutions while conducting statistical experiments
  • Stay updated with emerging technologies and learn new frameworks
  • Collaborate with peers across multiple disciplines including data and product
  • Commit to delivering high-quality research and engineering on time

Benefits

  • Engage with a multidisciplinary team that values innovation
  • Opportunity to directly impact the customer experience at a leading brand
  • Flexible learning environment with access to new technologies
  • Work in a collaborative setting with scientists and engineers
  • Involvement in projects that reach millions of users daily
Full Job Description
  • Start Date: Interview Types
  • Skills Data Scientist Mid Visa Types Green Card, US Citiz..


  • $60 W2

    $5 referral fee for you ?

    Title: Data Scientist Mid

    REQ ID: 12666-1 and 12634-1

    2 opening

    Location: 3200 HACKBERRY RD IRVING, TX 75063

    Duration: 7/31/25 (12 Months)

    Job Description:

    Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. ... They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.

    Experimentation analytics experience - A/B testing

    Power Analysi

    Homogeneity testing

    Statistical analytic

    Databricks experience is a plu

    Overview

    7-Eleven is looking for a Data Scientist to join the AI COE Team!

    At 7-Eleven, 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 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 & Scientists at 7-Eleven 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 solutions to build personalized systems.
    • Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products.
    • Stay up to date with emerging technology and learn new technologies/libraries/framework
    • 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 with SQL, PySpark and Python.
    • 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 Databricks platform.
    • Experience building ML models with large amounts of structured and unstructured data.

    Where is the candidate required to work?: Onsite

    How many days in a week must contractor work onsite? (If Applicable): 3

    What office will the contractor work from (If you don't have a preference select both)? (If Applicable): Irving, TX

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