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Blue Yonder
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Data Scientist

Data Scientist

Blue Yonder

2 - 7 years

5 - 10 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

computer science deep learning data science gcp machine learning data structures apache monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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

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Data Scientist