Senior Data Scientist

7-Eleven • Irving, TX

1d

About The Position

Lead the development and enhancement of forecasting models, especially LSTM (Long Short-Term Memory) neural networks, to predict retail fuel prices using historical trends and market signals; Design, train, and review deep learning architectures in PyTorch, with scalable ML (machine learning) pipelines deployed via Databricks; Write and review production-grade Python code for feature engineering, model training, and seamless integration with downstream systems; Apply advanced ML techniques, including reinforcement learning and time-series modeling, to optimize pricing strategies in real time; Explore and apply Large Language Models (LLMs) and generative AI tools to accelerate feature documentation, scenario simulation, and pricing model summarization; Collaborate with pricing analysts, engineers, and product managers to define data science roadmaps, align solutions with business needs, and maintain model relevance; Run structured validation cycles, maintain experiment documentation, and contribute to the definition and improvement of model monitoring and fairness review frameworks; Mentor and guide junior data scientists by reviewing their work, helping scope projects, and supporting technical growth.

Requirements

• Master’s or foreign equivalent degree in Data Science, Applied Data Science, Computer Science, Machine Learning, or a related field, and 2 years of experience in the job offered or as an AI or ML Engineer, Deep Learning Engineer, Data Scientist, or in a related/similar position
• Experience therein to include 2 years in machine learning model development, using programming languages such as Python
• 1 year with deep learning frameworks such as PyTorch or TensorFlow, time series forecasting models such as LSTM or LLM, and Databricks or equivalent ML platform

Responsibilities

• Lead the development and enhancement of forecasting models, especially LSTM (Long Short-Term Memory) neural networks, to predict retail fuel prices using historical trends and market signals
• Design, train, and review deep learning architectures in PyTorch, with scalable ML (machine learning) pipelines deployed via Databricks
• Write and review production-grade Python code for feature engineering, model training, and seamless integration with downstream systems
• Apply advanced ML techniques, including reinforcement learning and time-series modeling, to optimize pricing strategies in real time
• Explore and apply Large Language Models (LLMs) and generative AI tools to accelerate feature documentation, scenario simulation, and pricing model summarization
• Collaborate with pricing analysts, engineers, and product managers to define data science roadmaps, align solutions with business needs, and maintain model relevance
• Run structured validation cycles, maintain experiment documentation, and contribute to the definition and improvement of model monitoring and fairness review frameworks
• Mentor and guide junior data scientists by reviewing their work, helping scope projects, and supporting technical growth

What This Job Offers

• Job Type: Full-time
• Career Level: Senior