Job description

▶ Who we are

With more than 13,000 stores in the U.S. and 84,000 stores globally, it is no wonder 7-Eleven, Inc. has been named an iconic brand. In addition to 7-Eleven stores, 7-Eleven, Inc. also operates and franchises Speedway, Stripes, Laredo Taco Company and Raise the Roost locations.


Since inventing the convenience industry in 1927, 7-Eleven has built a rich 96-year history filled with beloved products like Slurpee, Big Gulp and Big Bite, and fan-favorite holidays like Slurpee Day and Bring Your Own Cup Day.


Now, 7-Eleven is on a mission to contemporize the brand and redefine convenience - and we need your help.


We are seeking a talented Data Scientist to join our team. As a Data Scientist, you will play a crucial role in analyzing complex datasets, extracting valuable insights, and contributing to data-driven decision-making processes. The ideal candidate should possess a strong background in statistics, machine learning, and data analysis, coupled with excellent programming skills.



  • Data Analysis and Interpretation:
    • Analyze large and complex datasets to identify trends, patterns, and insights.
    • Interpret and communicate findings to both technical and non-technical stakeholders.
  • Machine Learning Model Development:
    • Develop and implement machine learning models for predictive and prescriptive analytics.
    • Evaluate and fine-tune models to ensure optimal performance.
  • Data Cleaning and Preprocessing:
    • Clean and preprocess raw data to prepare it for analysis and modeling.
    • Address missing or inconsistent data to maintain data quality.
  • Statistical Analysis:
    • Conduct statistical analysis to validate hypotheses and draw meaningful conclusions.
    • Collaborate with cross-functional teams to design and execute experiments.
  • Feature Engineering:
    • Identify relevant features and variables for model development.
    • Optimize feature selection to enhance model accuracy.
  • Data Visualization:
    • Create visually appealing and insightful data visualizations to facilitate understanding.
    • Use tools like PowerBI, matplotlib, or others to communicate complex data stories.
  • Collaboration and Communication:
    • Work closely with other teams to understand business requirements and objectives.
    • Effectively communicate technical concepts to non-technical stakeholders.
  • Continuous Learning:
    • Stay updated on the latest advancements in data science and machine learning.
    • Apply new techniques and technologies to improve existing models and processes.








  • Programming languages: Python, R etc.
  • Data manipulation libraries: For example Pandas
  • Data visualization tools and libraries: PowerBI, matplotlib, seborn etc.
  • Machine learning libraries: Scikit-learn, Tensorflow etc.
  • Databases: SQL Server, BigQuery etc.
  • Statistics and Machine Learning concepts: Supervised and Unsupervised learning, Reinforcement Learning, Design of experiments etc.
  • This role is located on-site in Irving, TX.


This job description is intended to describe the general nature and level of the work being performed by the individuals assigned to this job.  This is not an exhaustive list of all duties and responsibilities.  Management reserves the right to amend and change the duties and responsibilities of this job to meet business and organizational needs as necessary. 

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