Job
Core
Build advanced analytic solutions and production-grade R Shiny applications for data-driven decision-making in the insurance industry.
Role type
Senior R Software/Data Engineer
Builds
Production-grade R Shiny applications, advanced statistical models, and data mining strategies
Domain
Insurance industry, Data Engineering, Statistical Modeling
Deliverable
production ML models | product features
Required skills
R programming (tidyverse, dplyr, data.table, Rcpp), Shiny application development, data extraction/cleansing/transformation, statistical modeling, machine learning algorithms, data warehouse design, version control, testing frameworks
Preferred skills
R code optimization (dtplyr, cpp11), CI/CD pipeline deployment, cloud environment deployment (Azure), R package development, object-oriented programming (S3, S4, R6), technical mentoring
Technologies
R, Shiny, Posit Workbench, Posit Connect, Azure, dplyr, data.table, Rcpp, testthat, shinytest2
Responsibilities
Utilize R for data extraction, cleansing, transformation, and visualization; Design and implement advanced statistical models and machine learning algorithms; Collaborate with cross-functional teams to define analytic objectives; Participate in the design and maintenance of data warehouses and semantic layers; Monitor and refine predictive models; Ensure high-quality code using version control and testing practices
Seniority
Senior, hands-on IC