Staff Data Scientist

Dallas, United States

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Blue Yonder

Transforming supply chains through an end-to-end platform for planning, execution, commerce and returns.

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Role : Staff Data Scientist ( gen AI )

Location :  Dallas TX *  ( Hybrid role - min 2 days in office)

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

#LI- SR1

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The salary range for this position is $140,385 - $165,615.

The salary range information provided, reflects the anticipated base salary range for this position based on current national data.  Minimums and maximums may vary based on location.  Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors.  In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.

At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: 

  • Comprehensive Medical, Dental and Vision 

  • 401K with Matching 

  • Flexible Time Off 

  • Corporate Fitness Program 

  • A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more

At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience.

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.

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Tags: Anthropic APIs Architecture Azure Big Data BigQuery Cassandra CI/CD Computer Science Core ML Databricks Dataflow Deep Learning Docker Engineering Feature engineering Flask Flink GCP Generative AI Git Kafka Keras Kubeflow Kubernetes LangChain LLMs Machine Learning Microservices ML models NumPy OpenAI Pandas Pipelines Prompt engineering Python PyTorch RAG Responsible AI Snowflake Spark SQL STEM Streaming TensorFlow Testing

Perks/benefits: 401(k) matching Career development Equity / stock options Flex vacation Health care Insurance Salary bonus

Region: North America
Country: United States

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