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.