
Sr. Associate Data Scientist
Farmers Insurance · United States
- Hybrid
- Full-time
- $154,990 / year
- United States
Job highlights
- Apply analytics and modeling to improve business results.
- Leverage data for strategic business decisions.
- Work with IT, business, and data teams.
- Present findings to leadership effectively.
- Deploy ML models using MLOps techniques.
About the role
About Farmers Insurance
We are Farmers – where ambition meets opportunity. At Farmers, we’re not just known for our 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 www.Farmers.com/careers/corporate. Connect with us on Instagram, LinkedIn and TikTok, and let’s build something incredible together!
Workplace
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 working knowledge and experience to apply analytics and modeling techniques to improve business results. Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies. Assists in projects operationalizing business decisions while receiving moderate guidance and direction from more senior roles.
Essential Job Functions
- Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work.
- Utilizes basic knowledge of programming, ETL and modeling methods to execute projects and assists the team through examples of good technical skills.
- Executes on standard business challenges involving data science.
- Succeeds in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines. Executes on routine projects with a sense of urgency.
- Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure. Advises on general matters and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture.
- Contributes to development of presentations and presents to leadership.
- Occasionally communicates complex technical material understandable to non-technical associates.
- Executes basic to intermediate model deployments via established MLOps techniques. Works with analytics and IT teams to deploy models/rules.
Experience Requirements
- Sr. Associate Data Scientist: Minimum one year of work experience required in data analysis, statistical or mathematical modeling, or related.
- Experience in insurance and financial services industry preferred.
- Intermediate level of Python, SQL, Git, dbt, and cloud tools (AWS/Databricks/etc.), preferred.
- Hand-on experience of ML modeling lifecycle (develop, deploy, monitor) in production environment, preferred.
Education Requirements
- High School Diploma or equivalent required.
- Masters degree preferred in data science, statistics, mathematics, business analytics or related.
Additional Qualification
- Strong verbal communication and listening skills. Demonstrated storytelling skills with ability to communicate complex data insights clearly to technical and non-technical audiences.
- Ability to influence internal and/or external constituents.
- Demonstrated problem solving skills.
- Demonstrated written communication skills.
- Seeks to acquire knowledge in area of specialty.
- Effective interpersonal skills.
- Proficient in Microsoft Office Suite.
- Demonstrated time management and priority setting skills. Able to handle shifting priorities.
- Demonstrated analytical skills. Possesses strong technical aptitude.
- Proficiency working on large-scale structured and unstructured multidimensional data using basic to moderately advanced knowledge of open-source cloud-enabled analytical programming languages. Developing ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs.
- Basic to moderately advanced knowledge of data analysis, manipulation tools (SQL, Python, SAS, R, and/or Snowflake) and cloud computing services (AWS). Foundational knowledge of data visualization tools (example, Tableau, Power BI).
- Basic 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 developing ability to decide the appropriate methodology for the purpose.
- Basic to moderately advanced proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques. Foundational knowledge of ML/AI model deployment best practices. Able to adapt quickly to new technologies.
- Foundational knowledge of coding standards and version control (Git).
- Developing knowledge of data ethics and data privacy.
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.
Special Skill Requirement
Benefits
Farmers offers a competitive salary commensurate with experience, qualifications and location.
- CA Only: $91,350 - $154,990
- CO Only: $85,800 - $133,980
- HI/IL/MN/VT Only: $85,800 - $143,550
- MA Only: $85,800 - $143,550
- MD Only: $85,800 - $143,550
- DC/NJ/NY/OH Only: $85,800 - $154,990
- Albany County, NY/Cleveland, OH: $91,350 - $133,980
- WA Only: $85,800 - $163,125
- 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
Job Location(s)
R_US - United States
Anticipated application deadline
At Farmers, the recruitment process is designed to ensure that we find the best talent to join our team. As part of this process, we typically close open positions within 8 to 21 days after posting. If you are interested in any of our open positions, we encourage you to submit your application promptly.
Equal Opportunity Employer
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.
Want to learn more about our culture & opportunities? Check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok.
Spokane, WA only: Residents who prefer not to provide their address click here to submit your resume via email: careers@farmers.com
Key skills/competency
- Data Science
- Machine Learning
- Python
- SQL
- Data Analysis
- Statistical Modeling
- Cloud Computing
- Data Visualization
- MLOps
- Insurance Industry
Skills & topics
- Data Scientist
- Senior Data Scientist
- Associate Data Scientist
- Machine Learning
- Python
- SQL
- Data Analysis
- Statistical Modeling
- Data Science
- Insurance
How to get hired
- Tailor your resume: Highlight experience in data analysis, statistical modeling, Python, SQL, and cloud tools, especially if you have insurance industry experience.
- Showcase your skills: Emphasize your ability to deploy ML models in production and communicate complex data insights.
- Prepare for interviews: Be ready to discuss your experience with the ML lifecycle and data science vision for projects.
- Understand the culture: Research Farmers' commitment to purpose, community, and innovation to align your application.
- Apply promptly: Positions typically close within 8 to 21 days, so submit your application soon after viewing.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the salary range for a Senior Associate Data Scientist at Farmers Insurance?
- Farmers Insurance offers a competitive salary for the Senior Associate Data Scientist role, with ranges varying by location. For example, in California, the range is $91,350 - $154,990, while in Washington, it's $85,800 - $163,125. Specific offers depend on experience, qualifications, and location.
- What is the work arrangement for the Senior Associate Data Scientist position at Farmers Insurance?
- This is a hybrid role. Employees living within 50 miles of a corporate office are expected to work at least three days in the office and can work up to two days virtually. Applicants outside this range may still be considered.
- What are the preferred technical skills for a Senior Associate Data Scientist at Farmers Insurance?
- Preferred technical skills include an intermediate level of Python, SQL, Git, dbt, and cloud tools like AWS/Databricks. Hands-on experience with the ML modeling lifecycle (develop, deploy, monitor) in a production environment is also highly preferred.
- What is the minimum experience required for this role?
- A minimum of one year of work experience in data analysis, statistical or mathematical modeling, or a related field is required for the Sr. Associate Data Scientist position.
- Does Farmers Insurance consider candidates with criminal histories for the Senior Associate Data Scientist role?
- Farmers will consider all qualified applicants, including those with criminal histories, in accordance with applicable laws like the Los Angeles Fair Chance Initiative for Hiring Ordinance. However, certain criminal felonies involving dishonesty or breach of trust may require prior written consent from the state Department of Insurance.
- What is the typical application timeline for jobs at Farmers Insurance?
- The recruitment process at Farmers is designed to find the best talent efficiently. Open positions typically close within 8 to 21 days after posting, so interested candidates are encouraged to apply promptly.
- What educational background is preferred for this Data Scientist role?
- While a High School Diploma or equivalent is required, a Master's degree in data science, statistics, mathematics, business analytics, or a related field is preferred for the Senior Associate Data Scientist position.
- What kind of projects will a Senior Associate Data Scientist work on at Farmers Insurance?
- You will apply analytics and modeling techniques to improve business results, leverage customer data for strategic decisions, and assist in operationalizing business decisions. This includes working with retention models, agency economics, and lead optimization, as well as executing basic to intermediate model deployments.