Fuel Pricing Data Scientist Intern — ML & Forecasting

my7elevenhr

Irving (TX)

On-site

USD 100,000 - 123,000

Full time

3 days ago
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Job summary

7-Eleven Inc. seeks a Fuel Pricing Data Scientist Intern to support the development, testing, and monitoring of machine learning models driving data-driven fuel pricing decisions across our retail network. You will work with time-series data, pricing systems, and enterprise ML platforms.

The role offers hands-on experience with production-grade modeling, ML workflows, and cloud-based data platforms, under mentorship from senior data scientists and ML engineers.

Qualifications

  • Pursuing a Bachelor’s or Master’s degree in a quantitative field.
  • Coursework or hands-on experience in Python, ML/Statistics, and SQL.

Responsibilities

  • Support development and testing of ML models for dynamic fuel pricing.
  • Assist time-series forecasting workflows for price movement and demand.
  • Perform data cleaning, feature engineering, and EDA on pricing datasets.
  • Write Python and SQL code to support modeling and data pipelines in Databricks.
  • Help validate model outputs via back-testing and diagnostics.
  • Document models, assumptions, and experiment results.
  • Collaborate with senior team on pricing experiments and monitoring.
  • Present findings to technical and non-technical stakeholders.
  • Learn and apply emerging AI tools to support modeling workflows.

Skills

Python
LLM experience
Statistics
SQL

Education

Bachelor's or Master's in Data Science/CS/Math/Engineering

Tools

Pandas
NumPy
scikit-learn
Spark/Databricks
Git

Job description

7-Eleven Inc. seeks a Fuel Pricing Data Scientist Intern to support the development, testing, and monitoring of machine learning models driving data-driven fuel pricing decisions across our retail network. You will work with time-series data, pricing systems, and enterprise ML platforms.

The role offers hands-on experience with production-grade modeling, ML workflows, and cloud-based data platforms, under mentorship from senior data scientists and ML engineers.

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