Data Scientist (ML, Python, Pandas, NumPy, Keras, TensorFlow, Cloud)

JDA

Job Summary

Blue Yonder is seeking a Data Scientist with a strong technical foundation in Data Science and Machine Learning. This role involves hands-on development and deployment within a broader engineering team, focusing on AI-driven supply chain solutions. The platform processes real-time data from millions of retail items, serving deep learning models and generating billions of daily predictions. The Data Scientist will work with sales, product, and engineering teams to design and implement next-generation retail solutions, turning data into actionable insights for measurable customer improvements.

Must Have

  • Solid understanding of data science and deep learning foundations
  • Proficient in Python programming with a solid understanding of data structures
  • Experience with Pandas, NumPy, Keras, PyTorch, TensorFlow, Jupyter, Matplotlib
  • Expertise in any database query language, SQL preferred
  • Solid experience with Azure and/or GCP (Google Cloud Platform)
  • Independently implement machine learning models by procuring data
  • Implement data enrichment and cleansing routines
  • Implement features, prepare modelling data sets, feature selection
  • Evaluate candidate models, select, and report on test performance
  • Ensure proper runtime deployment of models
  • Implement runtime monitoring of model inputs and performance
  • Work with product, sales and engineering teams to shape solutions
  • Use data to understand patterns, come up with and test hypothesis

Good to Have

  • Bachelor’s Degree in Computer Science or related fields; graduate degree preferred
  • Familiarity with Big Data tech such as Snowflake, Apache Beam/Spark/Flink, and Databricks
  • Reasonable knowledge of modern software development tools like Git, Jenkins, Docker, Jira
  • Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization
  • Provable experience guiding junior data scientists
  • Desired knowledge of Kafka, Redis, Cassandra

Job Description

Overview:

  • Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work”
  • Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams.

Scope

  • Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis.
  • Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line.

Our current technical environment:

Software: Python 3.*

Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Apache Spark, Kubeflow , Kubernetes, Kafka, Pub/Sub, and Flask.

Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture.

Cloud: Azure/GCP

What we are looking for:

  • Bachelor’s Degree in Computer Science or related fields; graduate degree preferred.
  • Solid understanding of data science and deep learning foundations.
  • Proficient in Python programming with a solid understanding of data structures.
  • Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, PyTorch, TensorFlow, Jupyter, Matplotlib etc.
  • Expertise in any database query language, SQL preferred.
  • Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc.
  • Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform).
  • Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.
  • Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.
  • Provable experience guiding junior data scientists in official or unofficial setting.
  • Desired knowledge of Kafka, Redis, Cassandra, etc.

What you will do:

As a Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities.

  • Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources.
  • Implementing data enrichment and cleansing routines
  • Implementing features, preparing modelling data sets, feature selection, etc.
  • Evaluating candidate models, selecting, and reporting on test performance of final one
  • Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability.
  • Work with product, sales and engineering teams helping shape up the final solution.
  • Use data to understand patterns, come up with and test hypothesis; iterate.
  • Help prepare sales materials, estimate hardware requirements, etc.
  • Attend client meetings, online and onsite, to discuss new and current functionality

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. 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.

About Us

Who are we?

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.

What do we do?

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. ™ blueyonder.com

“Blue Yonder” is a trademark or registered trademark of Blue Yonder, Inc. Any trade, product or service name referenced in this document using the name “Blue Yonder” is a trademark and/or property of Blue Yonder, Inc.

Blue Yonder, Inc.

15059 N Scottsdale Rd, Ste 400

Scottsdale, AZ 85254

29 Skills Required For This Role

Data Analytics Github Data Structures Game Texts Apache Beam Azure Spark Google Cloud Platform Matplotlib Data Science Numpy Pytorch Deep Learning Reinforcement Learning Pandas Redis Cassandra Docker Microservices Flask Kubernetes Git Python Keras Sql Jira Tensorflow Jenkins Machine Learning

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