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 Analysis
Homogeneity testing
Statistical analytics
Databricks experience is a plus
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/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 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
Information
Locations Position Open to Only localsIndustry Information TechnologyStatus OpenJob Age 22 Day'sCreated Date 07/23/2025No.of Positions 2Duration 12 MonthsZip Code
