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Blue Yonder Logo

Sr Data Scientist

Blue Yonder

$110,594 - $143,896
Dec 2, 2025
Dallas, TX, US
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Blue Yonder is looking to solve business problems using machine learning and deep learning models, generating billions of predictions daily, and powering cutting-edge retail solutions.

Requirements

  • Proficient in Python programming with a solid understanding of data structures
  • Experience with frameworks and libraries like Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib, etc.
  • Expertise in a database query language, preferably SQL
  • Familiarity with deep learning, time series, NLP, reinforcement learning, and combinatorial optimization
  • Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks
  • Solid experience with major cloud platforms, preferably Azure and/or GCP
  • Knowledge of modern software development tools and best practices, including Git, Github Actions, Jenkins, Docker, Jira, etc.

Responsibilities

  • Designing, developing, and testing new algorithms, models, or solving approaches based on machine learning, operation research, or other techniques
  • Develops prototypes and proofs of principles for innovative features
  • Integrates new models and algorithms into a product solution
  • Mentors team with scientific libraries and development tools
  • Develops quality software (including test code) according to clean code principles and Blue Yonder standards
  • Considers operational aspects of machine learning services in early design stages and strives for more automation and self-service
  • Empowers team members by sharing knowledge and providing hints so they come up with their own solutions

Other

  • Bachelor’s Degree in Computer Science or any other related field is required
  • Min 5 years of experience with strong foundation in data science and deep learning principles
  • Proven experience in team leadership, mentoring junior data scientists in an official or unofficial capacity
  • Collaborate with cross-functional teams to execute data enrichment, cleansing routines, and feature selection
  • Lead client meetings, both online and onsite, to discuss new and current functionality