(USA) Principal Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

What you'll do...

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/training cycle time and raise the quality bar on AI/ML's shipped services by drastically simplifying the process of AI/ML Engineering.

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 ML Architect is a technical thought leader in data science practices, MLOps and HPC.

Responsibilities

• Defines MLOps processes and assists product teams with adoption
• Assists in outlining new product/service business case justification to ensure that proposed solution is capable of delivering articulated business benefits to clients and business stakeholders
• Works closely with the Product Manager, Data Scientists and other architects to design our end-to-end Applied Intelligence solution, including areas such as data engineering, advanced analytics, visualization and reporting, maintaining platform integrity and leveraging pre-engineered components, where appropriate
• Identifies use cases for 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 as well as standard DevOps pipelines 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.)
• Keep abreast of AI/ML developments 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
• Engage with product owners, product managers, technical anchors and other PDO team SMEs
• Collaborate with other architects and the technology delivery team to define architectural approaches/solutions
• Work closely with architect team to validate, influence and present the new architectural improvements

Required

• BS or MS degree in Computer Science or related field
• Expertise in software development
• Possesses deep understanding of Data and 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 Spark, Java/Scala, Hadoop, Kafka, Python
• Solid experience of SQL and NoSQL database technologies.
• Experience in developing solution strategies and defining functional and technical features and designing the products and its configurations, with ability to work with vendors, and leading technologies
• Experience with product development life cycle, product and platform configurations, and business processes as they impact overall product plans
• Experience working with development and deployment tools, processes, approaches and/or techniques
• Experience in creating compelling and articulate arguments to Senior Leadership when presenting or negotiating on projects
• Expert command of the English language, semantics, vocabulary and grammar
• 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 defining CI/CD pipelines for enterprises e.g. Concord/Looper/etc.
• Excellent team player. Work effectively with the peers and across teams.
• Great communication skills and the ability to lead junior team members
• Experience deploying applications in GCP and Azure
• Nice to Have
• 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
• In-depth understanding of business/technical concepts in multiple specialized fields
• 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
• Excellent problem-solving skills
• Knowledge of architecture standards and how they relate to our data science products
• Ability to work well independently as well as part of a team
• Ability to research a technology and provide insight to business customers

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 5 years' experience in an analytics related field.

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

Option 3: 7 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, Publications or active peer reviewer in related journals or conference, 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