Staff, Data Scientist

Walmart

Walmart Global Tech envisions transforming retail through AI and ML, aiming to redefine customer payment initiatives and operational resilience. The Transactional Systems team, spearheaded by innovative data scientists, is pivotal in cultivating a seamless payment experience and driving business outcomes through advanced technological solutions.

In this role you can expect to have the responsibilities:

• Develop and optimize machine learning models for payment intelligence and checkout operations.
• Innovate algorithmic solutions using deep learning, reinforcement learning, and LLM techniques.
• Collaborate on ML architecture decisions for scalability and efficiency.
• Deploy and maintain ML solutions for both real-time and batch processing.
• Design experiments, including A/B testing, to evaluate model performance.
• Collaborate with cross-functional teams to align ML initiatives with business strategies.
• Lead quick MVP developments for data-driven decision making and innovation.
• Mentor junior team members and contribute to the overall AI strategy.

This role comes with the following benefits:

• Comprehensive health benefits: medical, vision, dental coverage.
• 401(k) plan and company-paid life insurance.
• Paid time off benefits, including sick leave and parental leave.
• Live Better U: Walmart-paid education programs.
• Eligibility for performance-based bonuses and stock options.

This role requires you to have:

• 8+ years of experience in data science focusing on AI/ML.
• Advanced skills in machine learning, deep learning, and NLP.
• Proficiency in Python, PySpark, SQL, JavaScript for ML pipelines.

You would benefit from having:

• Experience with distributed computing technologies.
• Knowledge of open-source ML tools like MLflow and Kubeflow.
• Background in payments or fraud prevention preferred.

Walmart emphasizes creating an inclusive digital experience, adhering to accessibility standards. Benefits and eligibility may vary based on job classification and tenure, with more details available at One.Walmart.