Full-Time Data Scientist Senior

Collaborate with experienced modelers to build predictive models and analytic solutions using Python or R; apply techniques such as GLM, decision trees, GBM and NLP.

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 5 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.

Exposure to OCR, NLP and image analytics a plus.

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.

BS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent.

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