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Data Scientist

Interactive Business Systems (IBS)

Job Description

Data Scientist 

Major Purpose:

•         Problem statement definition •         Model building and evaluation •         Extensive experience in data analysis and in-depth deep dives to get decisive action items for model        improvement •         Writing test cases for business problems, to be used as part of model evaluation, requires grasp of problem intricacies •         Ability to coherently tie model improvements to business KPIs •         ML model deployment process •         Experience leveraging open source projects software for specific problems •         Inclination to pick up new technologies, tools, and languages •         An experimenting frame of mind

Job Requirements

Major Responsibilities and Duties:

•         Core Tech Skills:

o   Python/R (very proficient)

o   Unix/Command Line

o   Spark

•         Preferable:

o   Masters in C.S/Mathematics

o   NLP/Text-mining experience

o   Hadoop familiarity

o   Java/Scala/JVM

o   Data Engineering/Software Engineering background

Must Haves: •         Knowledge of deep learning, computer vision (Image Recognition) and Natural Language Processing •         Hands-on experience in TensorFlow, Keras, Pytorch, Scikit-Learn, Pandas, Python, Spark ML, and ability to manipulate large-scale structured and unstructured datasets. •         Experience with big data and data visualization (Superset, SQL, and Hadoop)  

Additional good skills to have: •         Workflow, Automation, Kubernetes, Flask, Gunicorn •         Supply Chain Domain knowledge •         Recommender systems •         Experience with GPU computing and other deep learning libraries is a plus  

 

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Job Snapshot

Location US-IL-Chicago
Employment Type Full-Time
Pay Type Year
Pay Rate N/A
Store Type IT & Technical

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Snapshot
Interactive Business Systems (IBS)
Company:
US-IL-Chicago
Location:
Full-Time
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
IT & Technical
Store Type:

Job Description

Data Scientist 

Major Purpose:

•         Problem statement definition •         Model building and evaluation •         Extensive experience in data analysis and in-depth deep dives to get decisive action items for model        improvement •         Writing test cases for business problems, to be used as part of model evaluation, requires grasp of problem intricacies •         Ability to coherently tie model improvements to business KPIs •         ML model deployment process •         Experience leveraging open source projects software for specific problems •         Inclination to pick up new technologies, tools, and languages •         An experimenting frame of mind

Job Requirements

Major Responsibilities and Duties:

•         Core Tech Skills:

o   Python/R (very proficient)

o   Unix/Command Line

o   Spark

•         Preferable:

o   Masters in C.S/Mathematics

o   NLP/Text-mining experience

o   Hadoop familiarity

o   Java/Scala/JVM

o   Data Engineering/Software Engineering background

Must Haves: •         Knowledge of deep learning, computer vision (Image Recognition) and Natural Language Processing •         Hands-on experience in TensorFlow, Keras, Pytorch, Scikit-Learn, Pandas, Python, Spark ML, and ability to manipulate large-scale structured and unstructured datasets. •         Experience with big data and data visualization (Superset, SQL, and Hadoop)  

Additional good skills to have: •         Workflow, Automation, Kubernetes, Flask, Gunicorn •         Supply Chain Domain knowledge •         Recommender systems •         Experience with GPU computing and other deep learning libraries is a plus  

 

Data Scientist Apply now