Senior Data Scientist

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
CNA seeks to offer a comprehensive and competitive benefits package to our employees that helps them - and their family members - achieve their physical, financial, emotional and social wellbeing goals.
For a detailed look at CNA's benefits, check out our Candidate's Guide .
Understand business problems in pricing, underwriting, claims, operations, and other areas. With minimal direction, identify a viable approach these problems and perform analysis and modeling to solve them. Collaborates with peers and business partners to ensure that we build and implement viable solutions
JOB DESCRIPTION:
Essential Duties & Responsibilities

• Understand business problems in pricing, underwriting, claims, operations and other areas, identify viable approaches to those problems, and perform analysis and modeling to solve them applying advanced statistical and machine learning methods and techniques.
• Develop and provide subject matter expertise on the current and emerging predictive modeling techniques.
• Extract meaningful information from large volumes of data across multiple datasets.
• Plan, implement, manage and contribute to complex data science projects.
• Use full suite of GCP, R and Python tools to build and deploy packages, query data, build models, schedule future model runs and share results through Looker.
• Use model price elasticity, forecast demand, LOESS seasonal trend decomposition and time series forecasting to predict future activity within insurance policy lifecycle.
• Use NLP text preprocessing, fuzzy matching, and record linkage techniques to match records in different data sources and formats.

Reporting Relationship
Typically Director or above
Education & Experience
Master's degree in Data science, mathematics, economics or related quantitative field and 2 (two) years of experience in data science.
Must have work experience with each of the following:

• Use full suite of GCP, R and Python tools to build and deploy packages, query data, build models, schedule future model runs and share results through Looker.
• Use model price elasticity, forecast demand, LOESS seasonal trend decomposition and time series forecasting to predict future activity within insurance policy lifecycle.
• Use NLP text preprocessing, fuzzy matching, and record linkage techniques to match records in different data sources and formats

Primary Location United States - Illinois - Chicago
Organization - Technology
Mon-Fri., 8:30am - 4:45pm, 37.5 hours/week, $121,820 to $140,000 per year, overtime exempt. This position qualifies for CNA's employee referral policy program.
Apply: Submit cover letter and resume at www.cna.com
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [email protected] .