Senior Associate Data Scientist

We are Farmers – where ambition meets opportunity. At Farmers, we're not just known for unforgettable jingle – we're a team with a passion for purpose and making a real difference in people's lives. We deliver peace of mind when it matters most. Our results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn't just a goal – it's a way of life for both the organization and every individual on our team.

We tackle challenges head-on, learn from every experience and measure our impact on the customers who trust us. Join an award-winning, equal opportunity employer, where you'll find more than a job – you'll find a supportive community. Enjoy competitive benefits, take part in meaningful volunteer projects, and help shape the future alongside talented colleagues across all backgrounds. At Farmers, helping others is at the heart of what we do.

Ready to make your mark? Discover our vibrant culture and explore career opportunities at www.Farmers.com/careers/corporate . Connect with us on Instagram , LinkedIn and TikTok , and let's build something incredible together! Workplace: Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture of collaboration, creativity, and innovation, which thrives when we have the ability to work flexibly in a virtual setting as well as the opportunity to be together in person.

Our hybrid work environment combines the best of both worlds with at least three (3) days in office and up to two (2) days virtual for employees who live within fifty (50) miles of a Farmers corporate office. Applicants beyond fifty (50) miles may still be considered. Job Summary Farmers Group (Woodland Hills, CA) seeks a Senior Associate Data Scientist to apply analytics and modeling techniques to improve business results, perform routine assignments, leverage customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies.

Specific duties include: execute on standard business challenges involving data science, succeed in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines, execute on routine projects with a sense of urgency (30%); utilize conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work, utilize basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills (40%); partner closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure, advise on general matters and serve as an objective and transparent partner to drive fact-based decision making and a measures of success culture (10%); contribute to development of presentations and presents to leadership, occasionally communicate complex technical material understandable to non-technical associates and prepare documentations for regulatory communications (10%); execute basic to intermediate model deployments via established MLOps techniques and work with analytics and IT teams to test and deploy models 10%).

Option to work remotely with required travel to local offices as needed, if within 50 miles of remote worksite. Position requires a Bachelor's degree, or foreign equivalent, in Statistics, Business Economics and Statistics, or a closely related field of study, plus 3 years of experience in the job offered, or as a Product Analyst, Predictive Analyst, or similar position applying analytics and modeling techniques in the insurance industry.

Must have 3 years of experience in each of the following: communicating complex data insights to both technical and non-technical audiences; influencing internal and external stakeholders; working with large-scale structured and unstructured