(USA) Staff, Software Engineer

What you'll do...

It’s exciting time to join our Walmart journey. We are seeking a Staff Software Engineer to work and partner with teams to build Machine Learning models in Finance Data Factory team within Finance Technology.

Job summary:

Work with a team of data scientist and software engineers to develop and deploy Anomaly detection and predictive models on a data platform. Build state-of-art models by training with massive amount of Walmart data utilizing open-source or in-house tools.

Our team works closely with different segments of finance business to better serve customers by empowering team members, stores, and merchants with technological innovation.

• Collaborate closely with business teams to identify opportunities and translate requirements into innovative technical solutions. 
• Lead the design and development of generative AI solutions, utilizing established techniques and creating custom algorithms when necessary. 
• Work closely with engineers and platform architects to integrate and deploy robust ML applications and systems. 
• Stay at the forefront of data science and machine learning advancements by continuously exploring and evaluating new technologies and methodologies. 
• Conduct advanced analyses to provide recommendations on the applicability and efficiency of product features. 

About the Team

As a part of Walmart Finance Technology – Finance Data Factory (FDF) team, we build industry defining Data platform/workflows that process large quantity of data that run on data platform for visualization and consumed by downstream applications Also, Machine Learning and statistical modeling that enable transparency, governance, and automation. The goals include improved Business partner user experience; standardizing the core and utilizing reporting/predictive analytics to uncover insights faster.

You will be in the unique position to be of service to associates as a member of this organization supporting all segments of Walmart Finance. If you are the type of person who feels a personal stake in everything that you work on, has a strong sense of ownership, has a love for financial data, enjoys solving complex problems, has a passion for privacy, knows how to foster strong relationships and build trust, and works for the success of the product - then this role could be for you. The ideal candidate will be a driver for any given work stream within the program, working closely with the engineering and business teams to take an idea thru implementation and stabilization.

Also, you will be positioned to work/partner with a team of data scientist to develop machine learning models to enable observability, monitoring,  data Quality and impact-based alerting, orchestrate with multiple systems in the landscape to provide end-to-end visibility and connectivity between the systems to better serve business/customers. Provides visibility into data correctness, completeness, accuracy for downstream systems. Identifies data gaps upfront, hence providing proactive alerting. Enabling data transparency, insights hence help kick off the data remediation process in upstream systems.

What you’ll bring: 

• Strong knowledge of retail and one or more business practices across domains such as product, finance, marketing, technology, and business systems. 
• Big Data processing and feature engineering
• Exceptional analytical and quantitative problem-solving skills. 
• Experience with large dataset mining tools and open-source programming tools (e.g., R, Python). 
• Expertise in solving optimization problems using integer programming. 
• Ability to deconstruct abstract problems, formulate hypotheses, and conduct detailed analyses. 
• Experience navigating ambiguity and building rapid business cases/prototypes. 
• Hands-on experience with analytics and reporting tools such as Google Cloud Platform (BigQuery), Microsoft Azure, Power BI, and Microsoft Excel. 
• Time series forecasting, anomaly detection, LLM tuning, using sound statistical and deep learning methods.
• Deployment of machine learning models to cloud platforms to serve internal customers at scale.
• Experience in Technical Solutions Architecture and design leadership.

Additional skills that is a plus:

• Experience using Javascript, HTML/CSS, ReactJs or next.js
• Strong Java, Spring framework, Kafka, SQL and cloud experience such as Azure.
• Strong experience in RESTful Microservices
• Container technologies such as Docker on Kubernetes
• Strong API design, development, and management
• Experience with cloud native technology, CI/CD (KITT)
• Experience with third-party libraries and APIs

You’ll really wow us if…

• You are a driver, takes responsibility to ensure timely delivery.
• You are passionate, driven and humble in your approach.
• You’re excited about solving challenges with can-do attitude.
• You’re team-centric in spirit and in execution.
• You’re leading and participating in medium- to large-scale, complex, cross-functional projects by reviewing project requirements, translating requirements into technical solutions, gathering requested information (for example, design documents, product requirements, wire frames).
• You’re writing and developing code; conducting unit testing, communicating status and issues to team members and stakeholders, collaborating with project team and cross functional teams.

You’ll make an impact by…

• Effectively translating requirements into solutions while working with agility.
• Helping cross-functional teams to solve for business problems and develop solutions that enable us to redefine a “best-in-class” customer experience.
• Encouraging the teams that you oversee to work collaboratively and to aim for insight-driven outcomes. 

Benefits & Perks
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more, such as opportunities for upward advancement.

Equal Opportunity Employer
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, ideas, and opinions – while being inclusive of all people.

About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.