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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About Us
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale.

We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Veri...