Farmers: Data Science Manager - Marketing

Overview Headquarters: R_US – United States

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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 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 Utilizes in-depth knowledge and experience to apply advanced analytics and modeling to improve business results. Leverages customer information and behavioral data to influence strategic business decisions while using complex, innovative analytics, multi-variate models, machine learning and data mining technologies. Leads less complex projects operationalizing business decisions and works independently, receiving minimal guidance from manager. The role mentors, coaches, and trains less experienced team members and supervises direct reports who are individual contributors. Essential Job Functions Utilizes broad knowledge of consumer analytics including retention models, agency economics, and lead optimization in daily work. Uses in-depth knowledge of advanced programming, complex ETL and specialized modeling methods. Demonstrates clean reusable code and effective documentation. Acts as a main contributor to multiple phases of a data science project (ideation, experiment design, EDA, feature engineering, model building, deployment, etc.). Maintains ownership and contributes to multiple tasks simultaneously. Tackles complex and often vague business challenges involving data science. Scopes projects, defines measures of success, applies a data science vision, and progresses projects independently with urgency. Partners with IT, business, and data management/engineering teams to understand and improve data infrastructure. Advises on difficult matters and drives fact-based decision making. Develops presentations and communicates to leadership; explains complex technical material to non-technical audiences. Manages model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules across platforms and supports testing of new solutions. Contributes to MLOps environment improvements. Supervises and coaches direct reports and supports their development. Fosters a high-performance culture with a focus on excellence and innovation. Physical Actions Job is performed in-person at a Farmers office or virtually at an approved alternative work location. Environment is indoors with adequate lighting and ventilation. Frequent standing or sitting for extended periods. Occasional movement including stairs, ramps, and varying surfaces. Lifting up to 25 pounds without assistance. Repetitive fine motor tasks such as typing and using a mouse. Vision and hearing requirements to perform duties safely. Travel is rare. Education Requirements High School Diploma or equivalent required. Master’s degree preferred in data science, statistics, mathematics, business analytics or related field. Experience Requirements Minimum five years of work experience in data analysis, statistical or mathematical modeling, or related field. Insurance industry experience preferred. Python experience is required. CLTV experience is required. ML Ops experience preferred. Lead routing experience highly preferred. Additional Qualifications Strong verbal and listening skills with the ability to tell clear stories using data. Demonstrated written communication, problem solving and interpersonal skills. Ability to influence internal and external stakeholders. Proficient in Microsoft Office; capable of working with large-scale structured and unstructured data; experience with SQL, Python, SAS, R, Snowflake, and cloud services (AWS). Knowledge of data ethics and data privacy; experience with data visualization tools (Tableau, Power BI). Experience with statistical and ML/AI modeling techniques and model deployment best practices. Benefits Competitive salary commensurate with experience, qualifications and location. Salary ranges vary by geography. Bonus opportunity based on company and individual performance. 401(k), Medical, Dental, Vision, Health Savings and Flexible Spending Accounts, Life Insurance, Paid Time Off, Paid Parental Leave, Tuition Assistance. Additional information available in the What we offer section. For more information, review What we offer on the official Farmers careers site (no links in this description). Job Location(s): R_US – United States Salary ranges and location-specific details are provided by the company; actual offers depend on qualifications and location. Equal Employment Opportunity: Farmers is an Equal Opportunity Employer and does not discriminate based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. Farmers will consider for employment all qualified applicants, including those with criminal histories, in accordance with applicable laws. Spokane, WA only: Residents who prefer not to provide their address may submit resumes via email: View email address on click.appcast.io Note: This description is for informational purposes and does not constitute a job offer or guarantee of employment. #J-18808-Ljbffr Mosaec