(USA) Staff, Data Scientist

Position Summary...

What you'll do...

Job Summary

As a member of the Information Security (InfoSec) Global Tech Assurance team, you will play an important role in designing, developing, and implementing solutions/tooling to aide in our objective of creating automated processes and preventative/detective controls to ensure policy compliance.  You will be responsible for designing and developing data platforms to create insights and solutions/tooling that enable us and our stakeholders in automated detections of technical control anomalies for continuous compliance.

About Our Team

In an environment where IT-related risks are on the rise and constantly changing, the ability to provide confidence that our technical controls in high-risk areas are operating effectively is paramount.   The Global Tech Assurance team collaborates with business partners, Governance, and Global Tech teams to ensure applications are properly deployed, monitored, and controlled to meet appropriate levels of compliance for industry, legal, governmental, risk and safety standards.  We also work to create automated preventative and detective controls and processes as well as implementing systematic testing for continuous compliance to provide confidence key technical controls are functioning as intended.   

What you'll do...

As a Staff Data Scientist– Global Tech Assurance Engineering, you’ll have the following responsibilities:

• Scope, design, develop, test, deploy, and enhance solutions to support our Technology Assurance initiatives
• Collaborate with team members to develop best practices, technical requirements and continuous improvements for our monitoring platform or any software/tooling developed.
• Cooperate with key stakeholders to identify solutions, potential risks and drive improved product development
• Analyze large data sets to develop multiple custom models and algorithms to drive innovative solutions
• Building large data sets from multiple sources to build algorithms for predicting future data characteristics and training the algorithms so they can be applied
• Developing and maintaining documentation to be used as a playbook by technical teams or other team members.
• Collaborate with your team to perform design and code reviews, provide constructive feedback, improve operational excellence to ensure high quality, high availability, scalable and performant solutions.
• Conduct advanced statistical analysis to determine trends and significant data relationships.

What you’ll bring…

• Proficiency with Hadoop, Spark, Cloud, Python/PySpark, Java, Streaming, Kafka, and backend technologies.
• Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
• Advanced Statistical Analysis: Proficiency in statistical methods and tools to analyze complex data sets.
• Machine Learning: Deep understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Data Visualization: Ability to create insightful visualizations using tools like Tableau, Power BI, or Matplotlib.
• Big Data Technologies: Experience with big data platforms such as Hadoop, Spark, and cloud services like AWS, Azure, or Google Cloud.
• Data Engineering: Knowledge of data pipelines, ETL processes, and database management.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.  We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.  
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 

Benefits:
Benefits: Beyond our great compensation package, 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.

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.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

 

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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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.

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For information about PTO, see https://one.walmart.com/notices.

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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.

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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.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $110,000.00-$220,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

805 Se Moberly Ln, Bentonville, AR 72712, United States of America