Data Scientist - Fuel Pricing

Overview:

▶ 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.

▶ How we lead

1. Be Customer Obsessed
2. Be Courageous with Your Point of View
3. Challenge the Status Quo
4. Act Like an Entrepreneur
5. Have an “It Can Be Done” Attitude
6. Do the Right Thing
7. Be Accountable

Each principle has a defined set of behaviors which help guide the 7-Eleven team to Serve Customers and Support Stores.

▶ About This Opportunity

Responsibilities:

JOB SUMMARY:

Lead the creation and application of data-driven models to optimize 7-11's Fuel outcomes using advanced statistical, machine learning, and AI techniques. Your key role transforms complex data into actionable insights and models, fueling business growth and customer satisfaction.

KEY DUTIES AND RESPONSIBILITES:

• Design, build, and deploy predictive and prescriptive models that optimize pricing strategies and enhance customer value proposition.
• Innovate with intricate algorithms for offer optimization and dynamic customer personalization, while learning about the unique challenges of fuel.
• Extract and engineer features and insights from large datasets and watch as your work influences our business strategy.
• Collaborate with team members to deploy and maintain end to end AI models.
• Clearly convey complex insights to diverse stakeholders, practicing your communication skills and influencing business decisions.
• Collaborate with a team of data scientists, cultivating a culture of continuous learning, growth, and impact.

Qualifications:

EDUCATION AND EXPERIENCE:

YEARS OF RELEVANT WORK EXPERIENCE: 7+ years

SPECIFIC KNOWLEDGE AND SKILLS:

• Expertise in Big Data technologies such as Python, and PySpark.
• Proficiency in cloud computing, with a preference for experience in Databricks and its MLFlow features.
• Knowledge with RNN, LSTM, LLM and Natural Language Processing (NLP) and its practical applications.
• Strong analytical, problem-solving abilities, and a knack for extracting insights from complex datasets.
• Up-to-date knowledge of the latest advancements in machine learning, AI, and data science.
• Familiarity with customer churn modeling and the application of predictive analytics.
• Qualification in Maths/Stats/Comp Science, ideally a PhD, but Masters with 5+ years of relevant experience will be considered.
• This role is in Irving TX. Role is onsite in the office and can be hybrid.