Lead Data Scientist

Farmers Insurance Careers•Los Angeles, CA

10d•$186,026•Hybrid

About The Position

Farmers Group (Woodland Hills, CA) seeks a Lead Data Scientist to apply advanced analytics and modeling to improve business results, leveraging customer information and behavioral data to influence strategic decisions, use innovative techniques like machine learning and data mining, and lead complex cross-functional projects. The role involves taking ownership of complex business challenges, executing broad projects independently with urgency, and utilizing specialized knowledge of consumer analytics (retention models, agency economics, lead optimization). The Lead Data Scientist will also leverage advanced programming, complex ETL, and specialized modeling methods, demonstrating clean, reusable code and effective documentation. This position is a main contributor to multiple phases of data science projects, requiring strong ownership and the ability to manage multiple tasks and deadlines simultaneously. Collaboration with IT, business, and data management/engineering teams is crucial for understanding and improving data infrastructure. The role involves advising on complex matters, driving fact-based decision-making, and delivering results both individually and by mentoring team members. Responsibilities include developing and presenting findings to all leadership levels, managing specialized model deployments via MLOps techniques, partnering with analytics and IT teams for model deployment and testing, and actively contributing to MLOps environment improvements. The Lead Data Scientist will mentor and guide team members, and review AI/ML modeling, statistical analysis, and data analysis performed by others, providing coaching and feedback. There is an option to work remotely from anywhere in the U.S.

Requirements

Bachelor’s degree, or foreign equivalent, in Computer Science, Data Science, Computer Information Systems, Engineering, Chemical Engineering, Data Engineering or a closely related field of study
5 years of experience in the job offered, or as an Associate – Projects, Programmer Analyst, SQL Server Developer, or similar advanced data analytics position
2 years of experience with working with database management language SQL
2 years of experience with working with large datasets leverage ETL tools including SSIS
1 year of experience with working in the insurance industry with related data assets including working with customer data, financial and operational transactional data, quote data, and data on insurable interests
1 year of experience with working with predictive modeling and advanced data analytics
1 year of experience with working with Python programming
1 year of experience with working with business partners to understand the business needs, analytics, and reporting requirements and provide solutions to meet business needs
1 year of experience with develop dashboards, scorecards, and data visualizations to drive performance improvement and support business operations using Tableau

Responsibilities

Take ownership and execute on more complex business challenges involving data science
Execute and lead broad projects independently with a sense of urgency
Utilize specialized knowledge of consumer analytics including retention models, agency economics, and lead optimization
Utilize broad knowledge of advanced programming, complex ETL and specialized modeling methods to execute projects and lead the team through examples of effective technical skills
Demonstrate clean reusable code and effective documentation
Act as the main contributor to multiple phases of a data science project
Utilize influence a strong sense of ownership and contribute to multiple tasks and deadlines simultaneously
Partner closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure
Advise on complex matters and serves as an objective and transparent partner to drive fact-based decision making
Deliver results both individually and by mentoring and empowering other team members
Develop presentations and present to all groups and levels of leadership, including executives
Manage specialized model deployments via MLOps techniques
Partner closely with analytics and IT teams to deploy models/rules in various platforms and lead testing of new solutions
Take active role in steering MLOps environment improvements
Mentor and provide guidance to team members
Review AI/ML modeling, statistical analysis, and data analysis completed by other team members, providing coaching and feedback