Sr Data Science Manager - Marketing

Farmers Insurance is dedicated to providing peace of mind to customers through protection and comprehensive advice. They are seeking a Sr Data Science Manager - Marketing to leverage advanced analytics and modeling to improve business results and influence strategic decisions using customer data and innovative analytics.

Responsibilities:

• Utilizes specialized knowledge and experience to apply advanced analytics and modeling to improve business results
• Leverages unique customer information and behavioral data to influence strategic business decisions while using complex, innovative analytics, multi-variate models, machine learning and data mining technologies
• Assists in and leads complex, cross-functional projects operationalizing business decisions
• Works independently receiving guidance in only the most complex situations
• The role mentors, coaches, and trains less experienced team members and supervises direct reports who are individual contributors
• Takes ownership and executes on more complex and often vague business challenges involving data science
• Succeeds in specialized projects by scoping, defining measures of success, utilizing a data science vision for project success, and exceeding on prescribed and some vague timelines
• Executes and leads broad projects independently with a sense of urgency
• Utilizes specialized knowledge of consumer analytics including retention models, agency economics, and leads optimization in their daily work
• Utilizes broad knowledge of advanced programming, complex ETL and specialized modeling methods to execute projects and leads the team through examples of effective technical skills
• Demonstrates clean reusable code and effective documentation, encourages others to do the same
• Acts as the main contributor to multiple phases of a data science project (ideation, experiment design, EDA, feature engineering, model building, deployment, etc.)
• Utilizes a strong sense of ownership and contributes to multiple tasks and deadlines simultaneously
• Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve our data infrastructure
• Advises on complex matters and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture
• Provides strategic direction, project clarity and methodological consultation
• Delivers results both individually and by mentoring and empowering other team members
• Mentors and provides guidance to team members
• Provides high level coaching and knowledge around technical and non-technical skills
• Reviews AI/ML modeling, statistical analysis, and data analysis completed by other team members, providing coaching and feedback as needed
• Develops presentations and presents to all groups and levels of leadership, including executives
• Regularly communicates complex technical material understandable to non-technical associates
• Manages specialized model deployments via MLOps techniques
• Partners closely with analytics and IT teams to deploy models/rules in various platforms and leads testing of new solutions
• Takes active role in steering MLOps environment improvements

Requirements:

• Bachelors Degree required
• Minimum seven years of work experience required in data analysis, statistical or mathematical modeling, or related
• Python experience
• CLTV
• Mixed Media Modeling
• Masters degree preferred in data science, statistics, mathematics, business analytics or related
• Insurance experience preferred