Senior Product Data Scientist

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.  When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. 

GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management.

 

Job Responsibilities

• Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution

• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

• Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues

• Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities

• Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development

• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

 

Basic Qualifications

• 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R)

• 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

• Experience designing, analysis, and refining experiments

• Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics

• Intellectual curiosity and drive, decisiveness, ambiguity and complexity

• Bachelor’s degree required

 

Preferred Qualifications

• Insurance industry experience

• Master's degree, or Advanced technical degree

• Experience with predictive modeling, machine learning, and experimentation/causal inference methods

• Experience of data modeling and data pipeline design

 

Annual Salary

$110,000.00 - $230,000.00

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 th