Data Scientist
Role details
Job location
Tech stack
Job description
Primary Purpose of this Role: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.
Essential Responsibilities May Include
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Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders
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Help to build, prototype, and deploy machine learning models in sandbox and production environments
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Produce reports to communicate metrics and outcomes of stakeholder interest
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Assist with developing and maintaining end-to-end ETL data pipelines
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Work to explore new internal data sources and their utility within projects
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Communicate modeling challenges, findings, and outcomes to stakeholders
Requirements
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Insurance claims knowledge required
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Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
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Experience writing Python or R code, and notebook environments
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Knowledge of writing code in Python or R, and notebook environments
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Knowledge of common unsupervised/supervised ML techniques