Staff Data Scientist - Sam's Club

Position Summary...

What you'll do...

At Sam's Club, we are democratizing AI across all major functions in the business and radically disrupting conventional industry practices.

Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development and training cycle time while raising the quality bar on AI/ML shipped services.

This is a hands-on position where you will be empowered to be creative, ambitious, and bold. Our mission on the Data Science team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the Retail space and translate their solutions into a direct impact on the business and on Members. The Staff Data Scientist (ML Engineer) is a technical thought leader in Data Science practices, MLOps and HPC.

Responsibilities:

• Defines MLOps processes and assists product teams with adoption

• Qualifying new product business cases to ensure that proposed solutions will deliver required business benefits to clients

• Collaborates with Product Managers, Data Scientists and other architects to design end-to-end Applied Intelligence solutions, including areas such as data engineering, advanced analytics, visualization, modeling, serving, observability, and operations.

• Identifies innovative R&D approaches to solving major Machine Learning (ML) or Artificial Intelligence (AI) challenges

• Design, develop, architect and deploy enterprise solutions

• Employ AI/ML architectural knowledge DevOps standards to achieve Data Science objectives (e.g., developing a feature store, training/deploying ML models, etc.)

• Implement standard DevOps tools (e.g., Git, Jenkins, Docker, CI/CD pipelines, etc.)

• Stay fresh in AI/ML technology in order to provide sustainable architectural mentorship

• Recommend appropriate technologies/applications to enable strategic data management, model management, and risk considerations

• Ensure platform is scalable, reliable, and performant

Requirements:

• BS or MS degree in Computer Science or related field
• Demonstrable expertise in computer science and software development fundamentals (data structures, algorithms, distributed computation, databases, etc.)
• Deep understanding of Data & Analytics, Visualization, AI/ML techniques, data management and governance, DevOps/MLOps best practices, and proven experience in designing, implementing and deploying complex, large-scale solution in these areas
• Experience in building batch and streaming data pipelines
• Experience working in Agile/Scrum setup
• Proficiency in modern languages and platforms supporting big data and ML (Python, Scala/Java, Go, Spark, Kafka, Airflow, Kubeflow, Beam, etc.)
• Solid experience of SQL and NoSQL database technologies.
• Experience in developing solution strategies and defining functional and technical features
• Familiarity with product development life cycle
• Experience working with development and deployment tools, processes, approaches and/or techniques
• Knowledge in a broad spectrum of architecture domains including Data Architecture, Infrastructure Architecture, Application Architecture, Security Architecture, and Integration Architecture
• Expert in cloud and infrastructure - K8S, serverless, API, NoSQL
• Hands on experience in building and maintaining enterprise-grade CI/CD pipelines
• Experience deploying applications in GCP and Azure

Preferred Qualifications:

• Ability to lead/identify business requirements and determine operational impacts and needed system changes
• Knowledge of project management processes
• Senior-level, large-scale project experience incorporating all levels of architecture development
• Knowledge of infrastructure architecture, including servers, SAN, networking, firewalls, database and middleware
• Background in open-source products in the dev ops and machine learning space
• Knowledge of architecture standards and how they relate to our data science products

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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

About the Team:

As a member of the of the Engineering group, you’ll be responsible for evaluating large amounts of data as part of the ongoing effort to optimize processes and delivery protocols. You’ll operate as a trusted advisor as it relates to efficiencies and best practices. As a senior member of the team, you’ll be able to say that you work for the world’s largest retailer and contribute to the development to best-in-class methodologies that impacted perception and drastically changed business as we know it.

Who We Are:

Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, operating almost 600 clubs in the US. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.

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.

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.

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
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

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)

Primary Location...

2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America