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 AI solutions for Warehouse, Commerce, Transportation and Workforce management system. 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, Snowflake/BigQuery, TFX, Apache Beam, 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. 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.
