Senior Data Scientist for CLS Analytics

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

• 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. #LI-ZP1 #LI-Hybrid
• 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.