Job Opportunity: (USA) Staff, Data Scientist - Forecasting

Location: Reston, Virginia | Bentonville, Arkansas

Position Summary

Join our dynamic team and take on a pivotal role in financial data forecasting to solve complex retail challenges. Utilize advanced deep learning methods and architectures to design, build, and deploy state-of-the-art forecasting systems.

Key Responsibilities

• Lead a high-caliber team in developing time series forecasting systems.
• Develop data science models and tools for retail and e-commerce applications.
• Train neural network models with extensive datasets and deploy them on the cloud for business customers.
• Establish cross-functional relationships to maintain a win-win situation for the corporation.

About the Team

Our team partners closely with US stores and eCommerce businesses to enhance customer service through technological innovation. We cover a broad spectrum of products from groceries to entertainment, offering customers valued choices whether they shop online, via mobile apps, or in-store. Our focus areas include customer service, in-store service, merchant tools, data science, search, and personalization.

What You'll Bring

• In-depth understanding of optimization theory and neural network architectures.
• Proven record in solving business problems using neural networks.
• Proficiency in popular deep learning packages like Pytorch, Keras, Tensorflow.
• Strong software development skills in Python, SQL, R, Scala, Java.
• Problem-solving mindset and ability to handle new challenges under pressure.
• Ability to clearly define problems, models, and constraints from informal business requirements.
• Leadership capabilities with teamwork spirit and adaptability.

Preferred Qualifications

• Experience with Big Data processing and feature engineering using Spark.
• Familiarity with training ML models via Cloud Services (e.g., Google Cloud Platform, Microsoft Azure).
• Hands-on experience in designing and training large DL models on GPU farms.
• Knowledge of LLM and accessibility best practices.

About Walmart Global Tech

Imagine a workplace where one line of code enhances the lives of hundreds of millions of people. At Walmart Global Tech, we are on the front lines of retail disruption. Our diverse team consists of software engineers, data scientists, cybersecurity experts, and service professionals who make a global impact. At Walmart, we foster a tech-empowered, people-led environment where you can kickstart your career, develop new skills, and make a groundbreaking impact.

Flexible, Hybrid Work

Our hybrid work model blends in-office collaboration with remote work flexibility, enhancing teamwork and allowing for quicker decision-making and better work-life balance.

Benefits

• Competitive pay with performance-based bonuses.
• Inclusive 401(k) match, stock purchase plan, and company-paid life insurance.
• Comprehensive health benefits including medical, dental, and vision coverage.
• Paid time off covering vacations, sick leave, parental leave, and more.
• Professional development programs through Live Better U.

Salary Range:

• Reston, Virginia: $132,000.00 - $264,000.00 per year.
• Bentonville, Arkansas: $110,000.00 - $220,000.00 per year.

Equal Opportunity Employer

Walmart, Inc. is committed to diversity and inclusion. We value unique styles, experiences, ideas, and opinions and strive to build an inclusive environment for all employees.

Minimum Qualifications

• Bachelor's degree in relevant fields with 4 years' experience; OR
• Master's degree in relevant fields with 2 years' experience; OR
• 6 years' experience in related fields.

Preferred Qualifications

• PhD in Machine Learning, Computer Science, or related field.
• Experience with data science, machine learning, optimization models.
• Certification in Python, Spark, Scala,