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Fuels Data Scientist II
Job ID 2024-264046▶ Who we are
Imagine working in a place where continuous improvement and innovation is celebrated and rewarded; where fast-paced, high-impact teams come together to positively drive results for one of the largest & most iconic brands in the world.
As the only rapidly growing retailer, you may know us as your friendly neighborhood store. You probably know our familiar name, have seen our pervasive logo, and have tried our highly sought-after products, such as Slurpee® and Big Bite®. “Brain Freeze” is a 7-Eleven registered trademark for our 53-year old Slurpee® and with over 77,000 stores globally (more than any other retailer or food service provider), we sell over 14 million a month.
But there’s a lot more to our story and much more left to be written. We are transforming our business, ensuring we are customer obsessed and digitally enabled to seamlessly link our brick and mortar stores with digital products and services.
At 7-Eleven the entrepreneurial spirit is in our DNA and has been ever since our inception 90+ years ago. It’s what drove us to invent the convenience industry in 1927 by envisioning how a simple ice dock could provide household staples such as milk and eggs to better serve the needs of our customers.
Today we are redefining convenience and the customer experience in big ways...we are fundamentally changing our culture and we want talented, innovative, customer obsessed, and entrepreneurial people like you to come make history with us.
▶ How we lead
At 7-Eleven we are guided by our Leadership Principles.
- Be Customer Obsessed
- Be Courageous with Your Point of View
- Challenge the Status Quo
- Act Like an Entrepreneur
- Have an “It Can Be Done” Attitude
- Do the Right Thing
- 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
JOB SUMMARY:
As a Fuel Pricing Data Scientist, you will uncover key insights on how customers engage with 7-Eleven. Part of a rapidly growing team, you will apply data science methods and analytics to real business situations across retail fuel pricing. This role will enable fuel pricing decision making by developing key insights into our customer engagement and translating these insights into large scale predictive modelling and analytics solutions.
KEY DUTIES AND RESPONSIBILITES:
Design, develop, and implements different ML frameworks/solutions and data pipelines to solve business problems/opportunities related to fuel pricing.
Adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action
Create and build predictive models and analytic systems aimed at solving fuel pricing problem/opportunity statements.
Automates data pipelines and develops/utilizes different libraries for statistical algorithms that measure and predict KPI's related to fuel pricing and customer behavior/buying preferences.
Create actionable insight reports supported with data visualizations, and support A/B testing methodologies.
Utilize AI to predict customer behavior.
Price Optimization, Anomaly detection, customer retention, clustering, time series, sales forecasting, discount analysis, inventory and cost analysis, market basket and affinity analysis.
EDUCATION: Masters
YEARS OF RELEVANT WORK EXPERIENCE: 5+ years
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