Sr. Data Scientist

We are Farmers – where ambition meets opportunity. At Farmers, 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.

About the role

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. May manage a team of up to 2 more junior data scientist(s).

Responsibilities

• Utilizes broad knowledge of consumer analytics including retention models, agency economics, and lead optimization in daily work.
• Applies in-depth knowledge of 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.
• Scopes projects, defines measures of success, and accomplishes goals with some vague timelines.
• Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure.
• Advises on difficult matters and serves as an objective and transparent partner to drive fact-based decision making.
• Develops presentations and presents to leadership; communicates complex technical material understandably to non-technical associates.
• 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 steer MLOps environment improvements.
• Mentors data science team members, providing coaching and knowledge around technical and non-technical skills.
• Stays current on new technologies and makes recommendations for their use.

Requirements

• Minimum five years of work experience in data analysis, statistical or mathematical modeling, or related field.
• Experience in the insurance industry preferred.
• Experience building rate order calculation models for auto or rec casualty products preferred.
• High School Diploma or equivalent required; Master’s degree preferred in data science, statistics, mathematics, business analytics, or related field.

Skills

• 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.
• Effective interpersonal skills and ability to influence internal and/or external constituents.
• Demonstrated analytical skills and strong technical aptitude.
• 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 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 and manipulation tools (SQL, Python, SAS, R, Emblem, and/or Snowflake) and cloud computing services (AWS).
• In-depth knowledge of data visualization tools (e.g., 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.
• 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.
• Ability to adapt quickly to new technologies.
• In-depth knowledge of coding standards and version control (Git).
• Working knowledge of data ethics and data privacy.

Workplace

Hybrid work environment combining in-person and virtual work. Requires 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.

Physical Actions

• Job is performed in-person at a Farmers office or virtually at an approved alternative work location.
• Physical work environment is indoors and climate-controlled with adequate lighting and ventilation.
• 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.
• 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.
• Possesses adequate hearing, with or without correction, to communicate with co-workers and respond to auditory signals or alarms.
• Rare travel requirements, if any.

Pay

Competitive salary based on 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.

Benefits

• 401(k)
• Medical, Dental, and Vision coverage
• Health Savings and Flexible Spending Accounts
• Life Insurance
• Paid Time Off
• Paid Parental Leave
• Tuition Assistance

For more information, review "What we offer".