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 robust 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.
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Our current technical environment:
Software:



Python 3.*
Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Apache Spark, Kubeflow, Dataflow, Databricks , Kubernetes, Kafka, Pub/Sub, and Flask.
Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture.
Cloud: Google Cloud
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, 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, prefer

📌 Staff Data Scientist 1 (Hyderabad)
🏢 Blue Yonder
📍 Hyderabad