Collaborate with experienced modelers to build predictive models and analytic solutions using Python or R; apply techniques such as GLM, GAM and decision trees
Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection
Develop Python or R functions and SQL stored procedures to automate recurring tasks
Create and maintain documentation associated with models
Assist in implementation and testing of models
Develop dashboards in Power BI to facilitate analyses that support modeling efforts or enable model usage
Monitor the performance and usage of models

At least 3 years’ predictive modeling experience in a professional setting, using tools such as Python, R or SQL
The ideal candidate will have experience working in the insurance industry
Detail oriented with strong organizational skills
Excellent critical thinking skills in order to tackle complex data challenges
Comfortable working in a fast paced and highly collaborative global team
Ability to effectively communicate technical topics to different target audiences

Data Scientist – Midshift

Key skills