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# Senior Data Scientist

- **Company:** Plymouth Rock
- **Location:** Woodbridge Township, NJ, United States
- **Experience:** Expert
- **Salary:** $109,491.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Mining, Data Profiling, Fraud Prevention and Detection, Generalized Linear Model, R (Programming Language), Python (Programming Language), Machine Learning, SAS (Software), SQL Databases, Data Processing, Snowflake, Random Forest
- **Published:** June 28, 2026
- **Apply:** https://www.juju.com/job/00000000gbrk91

## About the Role

Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics or related quantitative fields, Employer will accept a Master's degree (or foreign equivalent) in Statistics, Economics, Mathematics or related quantitative fields and two (2) years of experience in the job offered or in Senior Data Scientist-related occupation.

Position requires demonstrable experience with the following:

 * Demonstrable experience developing and deploying advanced data science solutions with concepts and sophisticated methodologies in the areas of Finance, IRM (Insurance and Risk Management), and Actuarial Science.

 * Demonstrable experience modeling and understanding of both conventional quantitative analytics including GLM, GLMM, Bayesian statistics, Actuarial methods and tree-based machine learning techniques including GBM and Random Forest.

 * Demonstrable expertise utilizing SQL, Snowflake and AWS for data mining and modeling.

 * Demonstrable experience performing statistical programming and testing using statistical software and managing and manipulating data using SAS, Python and R.

## Description

* Lead the development of advanced analytical models for the automobile books of business through appropriate pricing, underwriting, marketing and fraud mitigation efforts.

 * Involved in the full cycle of research, development, implementation, and maintenance of analytical solutions.

 * Conduct end to end formal modeling process including data gathering, data profiling, model construction, validation, and other related tasks.

 * Build predictive models that improved profitability through the creation of new rating plans with improved estimation and segmentation of insurance risk.

 * Collaborate with business unit leaders to deliver operational enhancements and cost efficiencies in the claims, underwriting, and customer service processes.

 * Engage business leaders in evaluation of new models to drive growth and retention through customer acquisition and lifetime value modeling.

 * Manage projects, review subordinates' work and provide guidance to junior team members.

 * Seek out industry best practices in data sciences and advocate their adoptions in analytical and business processes.


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