(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
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