SR. DATA SCIENTIST - AGENT/REINFORCEMENT LEARNING

About the position

The Sr. Data Scientist - Agent/Reinforcement Learning position at Home Depot focuses on leveraging advanced data science techniques to enhance customer experience and operational efficiency. The role involves working with large datasets, developing predictive models, and implementing reinforcement learning algorithms to optimize decision-making processes. The ideal candidate will have a strong background in data science, machine learning, and a passion for solving complex problems in the e-commerce domain.

Responsibilities

• Develop and implement reinforcement learning algorithms to improve customer interactions and operational processes.
• Analyze large datasets to extract insights and inform business strategies.
• Collaborate with cross-functional teams to integrate data science solutions into existing systems.
• Communicate findings and recommendations to stakeholders effectively.
• Continuously monitor and refine models to ensure optimal performance.

Requirements

• Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 5+ years of experience in data science or a related field.
• Proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks and libraries.
• Strong analytical and problem-solving skills.

Nice-to-haves

• Experience in e-commerce or retail analytics.
• Familiarity with cloud computing platforms.
• Knowledge of reinforcement learning techniques.

Benefits

• Hybrid work environment allowing flexibility between in-office and remote work.
• Competitive salary and performance bonuses.
• Comprehensive health insurance plans.
• 401(k) retirement plan with company matching.
• Employee discounts on products and services.