Full-Time Data Scientist [2024-7445]
Arch Global Services (Philippines) Inc. is hiring a remote Full-Time Data Scientist [2024-7445]. The career level for this job opening is Experienced and is accepting Taguig, Philippines based applicants remotely. Read complete job description before applying.
Arch Global Services (Philippines) Inc.
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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 high-profile advanced analytics projects with the Strategic Analytics team. 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
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
- Predictive Modeling: 4 (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)
BS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent