2024-7400Data Scientist
2024-7400Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Shift: Mid Shift
The candidate develops innovative predictive models and analytical tools to improve profitability growth and operational efficiency. This position will help support predictive modeling needs across a growing portfolio of highprofile advanced analytics projects with the Strategic Analytics team supporting Claim. As a key member of the team you will also play a role in advancing predictive modeling capabilities enabling Arch to make better decisions.
- 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
Qualifications :
- 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
Technical Skills Proficiency Level Required (R) /Optional (O)
Predictive Modeling 4 R
R Python or equivalent Stat Program 4 R
SQL Server or equivalent data mgt tool 3 R
Property & Casualty Insurance Experience 2 O
Microsoft Excel 2 R
Qlikview or Power BI 1 O
Additional Information :
- BS in Mathematics Statistics Actuarial Science Data Analytics Computer Science or equivalent
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
