Posted:
8/20/2024, 5:00:00 PM
Location(s):
Arkansas, United States ⋅ Bentonville, Arkansas, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Position Summary...
What you'll do...
What you'll do...
It’s exciting time to join our Walmart journey. We are seeking a Senior 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.
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:
Additional skills that is a plus:
You’ll really wow us if…
You’ll make an impact by…
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.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00-$180,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering or related area.Option 2: 5 years’ experience in software engineering or related area.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related fieldWebsite: http://www.walmart.com/
Headquarter Location: Bentonville, Arkansas, United States
Employee Count: 10001+
Year Founded: 1962
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce ⋅ Grocery ⋅ Retail ⋅ Retail Technology ⋅ Shopping