Senior Data Scientist for CLS Analytics

We're looking for a Senior Data Scientist to join our team in Jersey City, NJ.
 

•    Under supervision, participates in the development and execution of analysis project plans for timely project completion.  May contribute to project hypothesis and goal setting.
•    Utilizes statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs. 
•    Ensures statistical, computational, and algorithmic validity of results.
•    Performs analyses of structured and unstructured data to solve multiple and complex business problems, utilizing advanced statistical, mathematical and machine learning technique.
•    Ability to keep up to date with emerging methods and environments.
•    Work with other technical teams and business units for R&D development, and delivery of solution(s).
Provides required support for project delivery and implementation.    
•    Creates clear and easy to understand documents for product support (technical). 
•    Presents analysis ideas, progress reports and results to internal managers, project managers.
•    Collaborates with Lead or Principal Data Scientist to develop technical approaches and new or enhanced technical tools.   
•    Completes all responsibilities as outlined on annual Performance Plan.                
•    Completes all special projects and other duties as assigned.        
•    Must be able to perform duties with or without reasonable accommodation.   

•    Knowledge in and applied experience with statistical and machine learning.
•    Skilled with feature engineering, model selection, and assessment methodologies, and familiarity with all stages of the data science pipeline. 
•    Logical, evidence-based problem solving and critical thinking skills.
•    Applied, practical experience using statistical and machine learning computer languages (e.g. R, Python, SQL).
•    Working familiarity with cloud computing environments. 
•    Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.  
•    Master's degree plus 24 months of experience.     

Preferred qualifications:

•    Insurance experience, focusing on the personal lines, commercial lines, underwriting or related business content.
•    Experience with any of the following considered a plus: creating unit tests in python, GitLab CI/CD pipelines, working with ETL pipelines.

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