About CCC
CCC Intelligent Solutions Inc. is the technology platform for the P&C insurance economy. CCC technology, insights, and support connect industries - insurers, automotive manufacturers, collision repairers, parts suppliers, lenders, fleet operators and more - to advance decision-making, productivity, and customer experiences for thousands of clients worldwide. Clients leverage CCC's network management, data management, AI, operational workflows and customer experience solutions to efficiently scale, interact, transact and achieve their unique business objectives. CCC was ranked a best mid-sized company to work for by Forbes (2019). BuiltIn Chicago, Austin and LA named CCC a top place to work in 2020, 2021 & 2022. Diverse perspectives and experiences are core to CCC's success and award-winning culture of more than 2,000 employees worldwide. We hold inclusion as a core value and are committed to celebrating and cultivating the diversity of our team. With a 40+ year track record of innovation, CCC's tenacious spirit and growth mindset turn next generation technology into real world solutions and empower team members to expand their knowledge and potential. Headquartered in Chicago, CCC has 6 locations worldwide and is listed on the New York Stock Exchange (NYSE: CCCS). Find out more about CCC Intelligent Solutions by visiting cccis.com.
Job Description Summary
As a Statistician at the intersection of statistics and machine learning, you will serve as our expert and knowledge-center for statistical methods and study design. Our team focuses on rigorousness and delivering business results to stakeholders.Your role will focus on methods and analyses to build predictive and explanatory models of business outcomes, overcoming statistical challenges around sampling, noisy data and missingness. You will serve pivotal role in project design and execution, from planning to validation and finally monitoring models in production.Competitive candidates are responsive, independent, and collaborative. They must be self-directed and comfortable solving statistical and analytical challenges while communicating both the needs and the solutions with data scientists and business stakeholders.
Job Duties

• Developing and testing for predicting and explaining business outcomes such as subrogation, salvage, and fraud detection as well as information extraction.
• Develop and implement methods for tackling statistical challenges such skewed, noisy or missing data.
• Lead and guide domain experts about manual labeling to train and validate models, while minimizing labeled data requirements.
• Communicate results and findings to business stakeholders.

Qualifications

• We expect the candidate to have:
• A Ph.D. in statistics, biostatistics or a related field.
• 3+ years of experience (either industry or academia) in applying statistical methods.
• Proficiency with R and Python is a must

Preferred:

• Excellent training in statistical theory or methodology.
• Academic publications about statistical methods and their application.
• Proficiency in SQL.
• Experience in product management and user/client-facing activities.