Staff Data Scientist / Machine Learning Scientist

At Walmart Advanced Systems & Robotics, we're building the infrastructure that will power the next generation of retail experiences. We're the team behind Alphabot®, a new technology that's changing the way America shops. Our automated pickup and delivery systems use a combination of robotics and software to efficiently handle large volumes of online orders, streamlining operations for managers and enhancing the customer experience. We're passionate about robotics, retail, and creating solutions that impact millions of customers daily.

We are seeking a Staff Data Scientist with a strong background in engineering for the development and deployment of innovative AI products for our multi-robot system. This multifaceted role is pivotal for our AI/ML Team, engaging the analysis, modeling, and collaboration aspects of data science with the crucial translation of data-driven insights into real-world software solutions.

As part of the AI/ML Team, you will be responsible for creating new applications and services to address complex engineering and operational challenges. An ideal candidate will have a proven track record of developing, deploying, and monitoring machine learning-based technologies for robotics applications. This role is for someone who can mentor junior developers and take ownership of software development initiatives.

What you'll do:

• Negotiate product requirements with stakeholders, manage project roadmaps and deliverables, and report progress to leadership.
• Develop robust, scalable, and high-performance software solutions that adhere to engineering best practices.
• Drive the research and development of predictive models and strategies for complex engineering and operational challenges.
• Write, test, and maintain production-level code for our AI/ML solutions, ensuring the highest standards of quality.
• Actively participate in code reviews and ensure continuous improvement in our codebase.

What we're looking for:

• Demonstrated experience in engineering roles within the industry, with a proven track record of impactful contributions.
• Demonstrated ability to develop reliable, high-quality, and maintainable software products.
• Proficiency in data analysis, statistical techniques, and machine learning methodologies in engineering domains.
• Prior experience working in a fast-paced engineering environment.

Preferred, but not required:

• MS or PhD in Mechanical/Electrical Engineering, Robotics Engineering, Operations Research, Applied Mathematics, or related field.
• MS with 7 years of professional experience, or a PhD with 3 years of professional experience, in engineering with a significant focus on AI/ML applications.
• Proficiency in MLOps principles and best practices.
• A strong foundation in causal analysis and systems modeling.
• Experience with sensor data processing, predictive maintenance, time-series anomaly detection or related experience.
• Expertise in Python, machine learning frameworks (eg. TensorFlow, PyTorch, Scikit-learn), container orchestration, cloud computing services (Azure), and query languages (SQL, KQL).

We offer great benefits for a happier mind, body, and wallet:

• Competitive pay and performance-based bonus awards
• Competitive 401(k) matching program, stock purchase plans, and equity opportunities
• Comprehensive health, vision, and insurance plans with options for dependent coverage
• Unlimited PTO for salaried employees, covering vacation, holidays, and personal days
• Up to 12 weeks of fully paid maternity/paternity leave
• Special Walmart discounts for in-store and online purchases
• Complimentary daily lunches, beverages, and snacks
• Other benefits include short-term and long-term disability, Military Leave Pay, adoption and surrogacy expense reimbursement, and more

Walmart, Inc. is an Equal Opportunity Employer. By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity – unique styles, experiences, identities, abilities, ideas and opinions – while being inclusive of all people.