Staff Data Scientist

1 Month ago • 8 Years + • Data Analysis • $140,385 PA - $165,615 PA

Job Summary

Job Description

Join the Blue Yonder Gen AI team as a Staff Data Scientist to lead the development of intelligent agents and autonomous systems on the BY platform. You will architect and implement sophisticated AI agents using Python, interacting with real-time data streams and machine learning models to create intelligent decision-making systems. This role involves designing, developing, and testing intelligent agents and multi-agent systems, architecting agent workflows, and developing autonomous agents capable of real-time decision-making and self-correction. You will also mentor junior associates and drive technical excellence in cutting-edge agentic supply chain solutions.
Must have:
  • Design, develop, and test intelligent agents and multi-agent systems using frameworks like LangChain, AutoGen.
  • Architect agent workflows, tool integrations, and reasoning systems.
  • Develop autonomous agents capable of real-time decision making, plan execution, and self-correction.
  • Create prototypes and proofs of concept for innovative agentic features and multi-modal AI systems.
  • Integrate agent-based solutions into production systems with robust error handling and monitoring.
  • Mentor team members on agent development frameworks, LLM integration patterns, and agentic system design principles.
  • Develop production-quality agent code with comprehensive testing, logging, and observability.
  • Design agents with operational excellence in mind, implementing self-healing capabilities and automated scaling.
  • Empower team members through knowledge sharing on prompt engineering, evaluations, agent orchestration, and tool-use patterns.
  • Lead by example in adopting cutting-edge agentic AI technologies and best practices.
  • Lead the team in implementing intelligent agents, autonomous decision systems, and multi-agent orchestration.
  • Design and develop sophisticated agent workflows that combine reasoning, planning, tool-use, and execution capabilities.
  • Collaborate with cross-functional teams to create agents for data enrichment and automated feature engineering.
  • Build agents capable of autonomous model evaluation, selection, and performance reporting with human oversight.
  • Ensure robust deployment of agent systems with comprehensive monitoring, logging, and fail-safe mechanisms.
  • Drive collaboration with product, sales, and engineering teams to integrate agentic capabilities into customer-facing solutions.
  • Develop agents that autonomously discover patterns, generate and test hypotheses, and adapt strategies based on outcomes.
Good to have:
  • Agent orchestration platforms
  • Workflow engines
  • Real-time streaming architectures (Kafka, Redis, Cassandra)
Perks:
  • Comprehensive Medical, Dental and Vision
  • 401K with Matching
  • Flexible Time Off
  • Corporate Fitness Program
  • Voluntary benefits such as Legal Plans, Accident and Hospital Indemnity, Pet Insurance

Job Details

Role : Staff Data Scientist ( gen AI )

Overview:

Join Blue Yonder Gen AI team as a Staff Data Scientist, leading the development of intelligent agents and autonomous systems on our BY platform. You'll architect and implement sophisticated AI agents using Python that interact with our real-time data streams and machine learning models, creating intelligent decision-making systems that generate billions of autonomous actions daily. Collaborate closely with sales, product, and engineering teams to spearhead the design and implementation of cutting-edge agentic supply chain solutions. Drives technical excellence across the team, mentors junior associates, and maintains unwavering focus on customer success.

In this role you are responsible for:

  • Designing, developing, and testing intelligent agents and multi-agent systems using frameworks like LangChain, AutoGen etc to solve complex Blue Yonder business problems with minimal supervision
  • Architecting agent workflows, tool integrations, and reasoning systems.
  • Developing autonomous agents capable of real-time decision making, plan execution, and self-correction within the BY platform ecosystem
  • Creating prototypes and proofs of concept for innovative agentic features and multi-modal AI systems
  • Integrating agent-based solutions into production systems with robust error handling and monitoring
  • Mentoring team members on agent development frameworks, LLM integration patterns, and agentic system design principles
  • Developing production-quality agent code with comprehensive testing, logging, and observability according to clean code principles and Blue Yonder standards
  • Designing agents with operational excellence in mind, implementing self-healing capabilities and automated scaling to reduce manual intervention
  • Empowering team members through knowledge sharing on prompt engineering, evaluations, agent orchestration, and tool-use patterns
  • Leading by example in adopting cutting-edge agentic AI technologies and best practices

Technical Environment

Operate within a sophisticated agentic AI landscape, utilizing Python 3.* with specialized agent frameworks including LangChain, LlamaIndex, AutoGen, and custom agent orchestration systems. Leverage core ML frameworks such as TensorFlow, PyTorch alongside LLM APIs, vector databases, and agent-specific tools. Work with BigQuery, Apache Beam, Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask in building scalable agent infrastructure. Our agentic architecture follows event-driven, autonomous, and self-monitoring principles within a secure multi-tenant Microservices design, hosted on Azure Cloud with specialized agent runtime environments.

Responsibilities:

  • Lead the team in implementing intelligent agents, autonomous decision systems, and multi-agent orchestration on the BY platform
  • Design and develop sophisticated agent workflows that combine reasoning, planning, tool-use, and execution capabilities
  • Collaborate with cross-functional teams to create agents for data enrichment and automated feature engineering
  • Build agents capable of autonomous model evaluation, selection, and performance reporting with human oversight
  • Ensure robust deployment of agent systems with comprehensive monitoring, logging, and fail-safe mechanisms
  • Drive collaboration with product, sales, and engineering teams to integrate agentic capabilities into customer-facing solutions
  • Develop agents that autonomously discover patterns, generate and test hypotheses, and adapt strategies based on outcomes

Qualifications:

  • Bachelor's degree in Computer Science, AI/ML, or related STEM field required; advanced degree preferred
  • Minimum 8 years of experience with strong foundation in data science, deep learning, and emerging expertise in agentic AI systems
  • Expert-level Python programming with deep understanding of async programming, design patterns, and agent architecture principles
  • Hands-on experience with agent development frameworks (LangChain, AutoGen) and LLM integration (OpenAI, Anthropic, other models)
  • Proficiency with vector databases, embedding systems, and retrieval-augmented generation (RAG) architectures
  • Experience with frameworks and libraries like Pandas, NumPy, Keras, TensorFlow, alongside agent-specific tools and prompt engineering
  • Advanced SQL expertise and experience with real-time data processing for agent decision-making
  • Experience with Big Data technologies (Snowflake, Apache Beam/Spark/Flink, Databricks) in agent-driven contexts
  • Solid experience with major cloud platforms (Azure/GCP) including serverless architectures for agent deployment
  • Proficiency with modern software development tools (Git, CI/CD pipelines, Docker, Kubernetes) adapted for agent system deployment
  • Deep knowledge of LLMs, prompt engineering, tool-use patterns, multi-modal AI, and autonomous system design
  • Proven experience leading technical teams and mentoring junior team members in emerging agentic AI approaches
  • Desired experience with agent orchestration platforms, workflow engines, and real-time streaming architectures (Kafka, Redis, Cassandra)
  • Understanding of AI safety, agent alignment, and responsible AI practices in production environments

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About The Company

We are a proven, passionate bunch of disruptors. Our work is all about tapping into your potential so we can deliver the best solutions and customer experiences on the planet. Collaboration, respect, and a great work-life balance earned us the title of "Best Place to Work- Employees' Choice" by Glassdoor. Our people are smart, creative, rock stars with over 400 patents and 10,000 people years of domain expertise. Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences. Blue Yonder - Fulfill your Potential.™

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