Data Scientist I

Scope:

• AI Data Scientist will contribute to the design, development and implementation of agentic AI-driven solutions at Blue Yonder.

• This role is not a research role and requires being hands-on and building agentic AI POCs from the ground up to demonstrate the “art of the possible” and business value.

• The AI Data Scientist will design, prototype and deploy agentic AI solutions that address customer pain points across Blue Yonder’s global customer base.

• This role will work on cutting-edge projects that push the boundaries of Generative AI and machine learning in the supply chain and retail domains.

Our current technical environment:

• Tools & Framework: Azure AI Foundry, Snowflake, BY SDK (internal), BY Products

What you’ll do:

• Design, build and rapidly iterate agentic AI solutions (including orchestration, MCP, A2A) logic and evals using proprietary/open source LLMs and agentic frameworks.

• Demo your solutions to wider business and to customers to get feedback and rapidly iterate to improve the solutions.

• Collaborate with other team members and supply chain experts to refine Agentic AI solutions and customize your solution to improve fit to a given business problem.

• Research and establish coding standards, best practices, and technical documentation for building reliable and trustworthy agents.

• Integrate AI solutions with our existing platform and products.

What we are looking for:

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a STEM related field.

• Minimum 1+ years of hands-on experience in Gen AI projects with a strong understanding of the Gen AI development ecosystem.

• MUST have strong proficiency in development using Python and ML libraries (pandas, numpy, sklearn, Pytorch, transformers, Hugging Face, LangChain etc.)

• Strong knowledge of LLMs, prompt engineering, RAG, LLM evaluations/ monitoring.

• Experience with cloud platforms (AWS, GCP, or Azure) and Github.

• Experience working with Microsoft Foundry is a plus.

• Comfortable with working in a startup environment embedded within an enterprise.

• Passion for pushing the boundaries of AI and a commitment to staying at the cutting edge of industry trends and technologies.

Preferred Skills:

• Familiarity with CI/CD pipelines and automated testing strategies.

• Familiarity with monitoring, logging, and observability tools for LLMs.

• Previous experience with working on data science problems in supply chain context

• Strong communication skills and ability to explain complex technical concepts.

• Contributions to open-source projects in the AI/ML space

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.