Sr. Data Scientist - Hyderabad, India - Blue Yonder

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, with the ability to implement them working with both the platform, and the product teams.

The Platform 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 bear the heavy burden of turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line.

They use rigorous analysis and repeatable processes to implement both black box and interpretable models.
The Data Science team uses MLOps to operationalize the machine learning pipeline.


Scope:

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

Works closely with product and engineering teams to shape up the final solutionIndependently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client and public data sourcesPrepare template notebook to demonstrate features of the solutionUse data to understand patterns, come up with and test hypothesis; iterateImplementing data enrichment and cleansing routinesImplementing features, preparing modeling data sets, feature selection, etc.

Implementing advanced statistics and analytics including segmentation, modeling, regression, forecasting etc.

Evaluating candidate models, selecting and reporting on test performance of final oneApply Natural Language Processing to understand text from forum reviews, description and interactions between usersEnsuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance to ensure continued model stabilityHelp prepare sales materials, estimate hardware requirements, etc.

Attend client meetings, online and onsite, to discuss new and current functionality


Our current technical environment:

Software:
Python 3*, NumPy, SciPy, scikit-learn, SparkML, pandas, Jupyter Notebook, Matplotlib, Azure ML

Application Architecture:
Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architectureCloud: MS AzureFrameworks/Others: Snowflake, Kubernetes, Dataflow, Kubeflow, Keras, TensorFlow, PyTorch, FastAPI


What we are looking for:

Bachelor's degree in computer science or related fields; graduate degree preferred5+ years of data science experience, retail setting preferred3+ years of Python programming experienceStrong grasp of data structures and algorithmsSolid understanding of data science and machine learning foundationsFamiliarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.

Experience working with most of the following frameworks and libraries:
Pandas, Numpy, sklearn, Keras, Tensorflow, Jupyter, Matplotlib etc.
Solid experience working on major cloud platforms, preferably Azure.
Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.
Provable experience guiding junior data scientists in official or unofficial settings.