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Data Scientist Job in Columbus, Ohio US

Data Scientist

State Auto Property & Casualty Insurance Company - Columbus, OH

Posted: 9/16/2020 - Expires: 10/30/2020

Job ID: 220231613

Job Description

Support strategic research to explore new and developing technologies. Learn, assess, and evaluate new analytics tools and techniques to increase customer insights, improve productivity, and lower expenses. Responsible for problem discovery, basic prototyping, feasibility assessment, and deployment to production of novel machine learning models. Conduct training on new tools and techniques for all business units. Explore new algorithms that deliver higher accuracy and drive greater business value more nimbly and with less training data. Develop strategic partnerships with business units to identify areas of opportunity and to develop and deploy production ML pipelines and APIs. Design and develop autonomous AI systems (chatbots, conversational interfaces, etc.) that are cloud native and portable to any cloud provider. Requires a bachelor's degree in Computer Science, Information Systems, or a related field plus 36 months of experience in data science, data mapping, integration, database design, and analytical reporting (or master’s and 12 months). Also requires demonstrated ability to prototype and build ML models for Python and Tensor flow, to learn new data and analytical software continuously, and to use appropriate data visualization techniques, including D3.js, Plotly, matplotlib, and native Python visualization packages; demonstrated understanding of AWS Cloud architecture for deploying models to production via automated deployment pipelines as well as post-deployment support; advanced knowledge of Python, R, machine learning and statistical frameworks (Tensorflow, Keras, and sklearn), SQL, and common databases (at least two of relational, NoSQL, and graph). Email resume to

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Job Summary

Employment Type:
Full Time Employee
Job type:
Agriculture, H-2A, FLC
Skill Based Partner:
Education Level:
Bachelor's degree
Work Days:
Mon, Tue, Wed, Thu, Fri
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