Senior Manager, Data Science

Summary
Data Science Senior Managers in GEICO's Pricing Department lead complex data analyses and development of pricing, econometric, statistical, and machine learning models to drive business decisions, identify actionable insights, and create specific business value through shared insights and analytic solutions. In this role, Senior Managers apply actuarial and analytics skills to forecast business results based on in-market and proposed rating plan changes and provide leaders with options for rating plan changes that are optimized based on changing business goals, regulations, and market conditions. Taken together, these functions provide leaders with information to improve business decision making and provide expectations that can be measured against when changes are made to GEICO’s rating plans.

Job Responsibilities

• Leads collaborations with State Management, Product Management, Finance, Technology, and Pricing to identify and define analytic initiatives, formulate strategies, design rating plan structural enhancements, and develop solutions to achieve business goals through effective use of data and pricing and machine learning models. 

• Builds and manages a strong, agile team of technical analysts and data scientists and trains them in accessing and interpreting data, analytical methods, and business relevance.

• Develops strategic and tactical plans. Regularly reviews progress to plans and escalates issues and blockers. Monitors results against specific goals to ensure completion and business impacts are achieved.

• Interprets and communicates data findings and insights using visualization, formal presentations, written memos, and other appropriate formats.

• Develops and implements documentation, project management, coding, and development best practices within a team.

• Identifies appropriate actuarial, statistical, and machine learning methods for a collection of projects. 

• Manages the identification, extraction, aggregation, and synthesizes of data using SQL, R, SAS, Python or other appropriate languages to enable analysis, model development, and solution deployment.

• Manages the application of actuarial and data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems.

• Manages the discovery, analysis, evaluation, and adoption of new data, new uses for existing data, or new pricing and data science methods to improve the quality, efficiency, and business value of data and analytic solutions. 

• Manages the building, testing, and validation of pricing, econometric, statistical, and machine learning models and analyses as part of overall solution development.

• Manages implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring.

Candidate qualifications and skills

• 6+ years’ industry experience in data science and insurance pricing/ratemaking roles, with a deep understanding of both.

• 3+ years leading a team of quantitative analysts or data scientists. 

• Actuarial ACAS/FCAS, advanced degree in a quantitative discipline, or 4+ years' insurance industry experience in a leadership position. 

• Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management and communication to management and stakeholders

• Demonstrated experience in developing & executing a team development roadmap, influencing business decisions, and driving business value

• Working experience with predictive modeling, machine learning, experimental design, AB testing, and analytical modeling and data engineering tools such as R, Python, SQL, and Spark.

Location

• This is a hybrid role, on-site 3 days per week from Chicago, IL, Chevy Chase, MD, or New York, NY.

 

Annual Salary

$0.00 - $0.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

 

Benefits:

As an Associate, you’ll enjoy our