Data Science Manager - Marketing

Farmers Insurance; United States; Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

401(k)

Health Insurance

Paid Time Off

Tuition Assistance

Bonus Opportunities

Job summary

Farmers Insurance is seeking a Data Scientist experienced in advanced analytics to drive business results through data-driven decisions. The role requires strong technical proficiency in Python, SQL, and machine learning techniques.

The ideal candidate will have a minimum of five years in data analysis in the insurance sector, supervising a team and ideally familiar with MLOps practices. A Master’s degree will be a significant advantage.

Qualifications

• Minimum five years of work experience in data analysis or related.
• Must have experience in the insurance industry.
• Strong verbal and written communication skills.

Responsibilities

• Utilizes knowledge of consumer analytics for project execution.
• Partners with IT and data teams to improve data infrastructure.
• Supervises and guides direct reports and promotes high performance.

Skills

Python

Data Visualization

Machine Learning

Statistical Modeling

Education

High School Diploma or equivalent

Master’s degree in data science or related

Tools

SQL

Tableau

Power BI

SAS

R

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

1. Utilizes broad knowledge of consumer analytics including retention models, agency economics, and lead optimization, and utilizes advanced programming, complex ETL, and specialized modeling methods to execute projects. 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 simultaneously. Executes on complex and often vague business challenges involving data science.
2. Successfully scopes, defines measures of success, utilizes a data science vision for project success, and accomplishes successfully within some vague timelines. Executes on broad projects independently, with a sense of urgency. Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve our data infrastructure. Advises on difficult matters and serves as an objective and transparent partner to drive fact‑based decision making and a culture of metrics. Develops presentations and presents to leadership. Regularly communicates complex technical material understandably to non‑technical associates.
3. Manages complex model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules in various platforms and support testing of new solutions. Helps to steer MLOps environment improvements. Supervises, guides, coaches, and manages the performance of direct reports. Delivers regular feedback and supports professional development. Promotes 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 physical work environment is indoors and climate‑controlled with adequate lighting and ventilation. Normal and customary distractions include background noise produced by office equipment and chatter among people, as well as interruptions. Frequently sits for prolonged periods of time, up to a full shift. Occasionally moves about the workplace including navigating stairs, ramps, and level or uneven surfaces. Occasionally moves, pushes, pulls, lifts, carries, and/or places objects or materials weighing up to 25 pounds without assistance. Frequently uses shoulders, arms, hands, and fingers to manipulate equipment, tools, and objects necessary to perform job duties. Frequently performs fine motor tasks such as typing, mousing, or writing, up to a full shift. Rarely performs movements such as bending, stooping, crouching, kneeling, twisting, and reaching overhead or below the knees. Possesses clear vision, with or without correction, to visually read and verify information. Relies on depth perception and peripheral vision to navigate the work environment visually by identifying barriers, changes in terrain and locating objects. Possesses adequate hearing, with or without correction, to communicate with co‑workers, respond promptly to auditory signals or alarms, and discern sounds essential for maintaining safety and productivity in the workplace. Jobs in this category require rare, if any, travel.

Education Requirements

High School Diploma or equivalent required. Master’s degree preferred in data science, statistics, mathematics, business analytics or related.

Experience Requirements

• Minimum five years of work experience in data analysis, statistical or mathematical modeling, or related. Experience in insurance industry preferred.
• Python experience is required.
• CLTV experience is required.
• ML Ops experience preferred.
• Lead routing experience highly preferred.

Additional Qualifications

Strong verbal communication and listening skills. Strong storytelling skills with ability to communicate complex data insights clearly to technical and non‑technical audiences. Demonstrated written communication skills. Demonstrated problem solving skills. Effective interpersonal skills. Ability to influence internal and/or external constituents. Demonstrated analytical skills. Possesses strong technical aptitude. Seeks to acquire knowledge in area of specialty. Proficient in Microsoft Office Suite. Demonstrated time management and priority setting skills. Able to handle shifting priorities. Strong proficiency working on large‑scale structured and unstructured multidimensional data using in‑depth knowledge of open‑source cloud‑enabled analytical programming languages. Strong ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs. In‑depth knowledge of data analysis, manipulation tools (SQL, Python, SAS, R, and/or Snowflake) and cloud computing services (AWS). In‑depth knowledge of data visualization tools (example, Tableau, Power BI). Strong proficiency in using explanatory, diagnostic, and inferential techniques such as experimental design, hypothesis testing, clustering analysis, time series and other statistical modeling algorithms with the ability to decide the appropriate methodology for the purpose. Strong proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques. In‑depth knowledge of ML/AI model deployment best practices. Able to adapt quickly to new technologies. In‑depth knowledge of coding standards and version control (Git). Working knowledge of data ethics and data privacy.

Benefits

• Farmers offers a competitive salary commensurate with experience, qualifications and location.
• CA Only: $115,275 - $196,130
• CO Only: $108,375 - $169,070
• HI/IL/MN/VT Only: $108,375 - $181,060
• MA Only: $108,375 - $181,060
• MD Only: $108,375 - $181,060
• DC/NJ/NY/OH Only: $108,375 - $196,130
• Albany County, NY/Cleveland, OH: $115,275 - $169,070
• WA Only: $108,375 - $205,750
• 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
• For more information, review “What we offer” on https://www.farmers.com/careers/corporate/#offer

Legal and Equal Opportunity Employment

Farmers will consider for employment all qualified applicants, including those with criminal histories, in accordance with the Los Angeles Fair Chance Initiative for Hiring Ordinance or other applicable law. Pursuant to 18 U.S.C. Section 1033, Farmers is prohibited from employing any individual who has been convicted of any criminal felony involving dishonesty or a breach of trust without prior written consent from the state Department of Insurance. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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.

Workplace

Hybrid ( ), Remote ( )

Job Location(s)

R_US - United States