Senior Data Scientist, CLS Analytics

Verisk

Senior Data Scientist developing statistical and machine learning models for Verisk's analytics team. Collaborating with cross-functional teams to solve complex business problems in Jersey City, NJ.

Posted 4/27/2026full-timeJersey City • New Jersey • 🇺🇸 United StatesSenior💰 $117,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Under supervision, participates in the development and execution of analysis project plans for timely project completion.
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 techniques.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health Insurance
Retirement Plan
Disability benefits
Paid Time Off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical techniquesmachine learning techniquesfeature engineeringmodel selectionmodel assessment methodologiesdata science pipelineRPythonSQLETL pipelines

Soft Skills

problem solvingcritical thinkingcollaborationcommunication

Certifications

Master's degreegraduate-level degree in quantitative discipline