Data Science Manager - Marketing

Farmers Group Inc.; California (MO); Hybrid; USD 115,275 - 196,130; Full time

Benefits offered by this job

401(k) plan

Medical benefits

Vision coverage

Flexible spending accounts

Bonus opportunity

Job summary

Farmers Group Inc. is hiring a data analyst in California to apply advanced analytics and modeling to influence business decisions. A minimum of five years' experience in data analysis and strong skills in Python and SQL are essential. This role involves mentoring team members and managing complex model deployments.

The ideal candidate will have a strong technical background and the ability to communicate complex concepts clearly. The position includes a competitive salary and benefits such as a 401(k) plan and medical benefits.

Qualifications

• Minimum five years of experience in data analysis or modeling.
• Experience with predictive and prescriptive modeling.
• Strong technical aptitude with large data sets.

Responsibilities

• Apply advanced analytics and modeling to improve business results.
• Manage complex model deployments with MLOps techniques.
• Mentor and guide less experienced team members.

Skills

Data analysis

Statistical modeling

Python

SQL

Communication skills

Problem-solving

Education

Master’s degree in data science or related field

Tools

SAS

R

Tableau

Power BI

AWS

Snowflake

Job description

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 advanced programming, complex ETL and specialized modeling methods to execute projects. Demonstrates clean reusable code and effective documentation, encouraging 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, contributing to multiple tasks simultaneously and executing on complex, often vague business challenges involving data science.
• Succeeds in projects by scoping, defining measures of success, and utilizing a data science vision for project success. Accomplishes projects with some vague timelines, executing on broad initiatives independently with a sense of urgency. Partners closely with IT, business and data engineering teams to understand, utilize and improve our data infrastructure. Advises on difficult matters, serving as an objective and transparent partner to drive fact‑based decision making and a culture of measurable success. Develops presentations and presents to leadership, regularly communicating complex technical material in a way understandable to non‑technical associates.
• Manages complex model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models and rules across various platforms and supports testing of new solutions. Helps steer MLOps environment improvements. Supervises, guides, coaches, and manages the performance of direct reports, delivers regular feedback and supports professional development, promoting a high‑performance culture where excellence is standard and innovation is actively encouraged.

Physical Actions

• Job is performed in‑person at a Farmers office or virtually at an approved alternative work location. The environment is indoors, climate‑controlled with adequate lighting and ventilation. Normal distractions include background noise from office equipment and chatter. The job requires frequent sitting for prolonged periods, occasional navigation of stairs, ramps, and uneven surfaces, and handling items weighing up to 25 pounds without assistance. Fine motor tasks such as typing, mouse use, or writing are performed for a full shift. Rare movements such as bending, stooping, crouching, kneeling, twisting, or reaching overhead are infrequent. Clear vision and adequate hearing are required. Travel is rare, if any.

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. Experience in the insurance industry preferred.
• Python experience required.
• CLTV experience required.
• Lead routing experience highly preferred.

Additional Qualifications

Strong verbal communication, listening, storytelling, written communication, and problem‑solving skills. Demonstrated interpersonal and analytical skills, strong technical aptitude, and experience with large‑scale multidimensional data using SQL, Python, SAS, R, Snowflake, AWS, Tableau, Power BI. Knowledge of predictive and prescriptive modeling, advanced machine learning, deep learning, model deployment best practices, coding standards, version control (Git), and data ethics and privacy.

Benefits

• California only: $115,275 - $196,130
• Colorado only: $108,375 - $169,070
• HI/IL/MN/VT only: $108,375 - $181,060
• Massachusetts only: $108,375 - $181,060
• Maryland only: $108,375 - $181,060
• DC/NJ/NY/OH only: $108,375 - $196,130
• Albany County, NY / Cleveland, OH: $115,275 - $169,070
• Washington only: $108,375 - $205,750
• Bonus opportunity (based on company and individual performance)
• 401(k) plan
• Medical benefits
• Vision coverage
• Health savings and flexible spending accounts

Farmers is an Equal Opportunity Employer and does not discriminate in any employer/employee relations based on race, color, religion, gender, sexual orientation, gender expression, genetic information, national origin, age, disability, marital status, military and veteran’s status, or any other basis protected by applicable discrimination laws.