Decision Scientist

Farmers Insurance; Phoenix (AZ); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

401(k)

Medical

Dental

Vision

PTO

Tuition Assistance

Life Insurance

Parental Leave

Job summary

Farmers Insurance is seeking a Decision Scientist to provide analytical support, gather and interpret data, and develop data-driven recommendations that improve efficiency, growth and profitability.

The ideal candidate will analyze large datasets, collaborate with IT, Data Engineering, and Business partners, and translate complex findings into clear, actionable insights for leadership. This role emphasizes mentorship and continuous learning in a hybrid work environment.

Qualifications

• Bachelor's degree preferred in data science, statistics, mathematics, business analytics or similar.
• Minimum of three years of work experience in data analysis or modeling.
• Experience translating ambiguous business questions into analytical frameworks and insights.
• Proficiency with SQL, Python, R, SAS, Tableau, Power BI, or similar tools.
• Experience designing experiments, forecasts, scenario analyses, or predictive models.

Responsibilities

• Apply advanced statistical and analytical techniques to solve business problems.
• Build descriptive and explanatory models or leverage predictive outputs.
• Analyze large datasets to identify trends, risks and opportunities.
• Use data visualization tools to present actionable insights.
• Collaborate with cross-functional teams to meet objectives.
• Transform data from multiple sources into cohesive datasets for analysis.
• Ensure data quality and governance for reliability and accuracy.
• Support deployment and monitoring of predictive models within workflows.
• Translate analyses into clear recommendations for leadership.

Skills

SQL

Python

R

SAS

Tableau

Power BI

Statistics

Hypothesis testing

Forecasting

Experiment design

Education

Bachelor's degree preferred in data science or similar

High School Diploma or equivalent required

Tools

SQL

Python

R

SAS

Tableau

Power BI

Job description

We are Farmers – where ambition meets opportunity.

At Farmers, we’re not just known for 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.

Workplace: On-site ( ), Hybrid ( ), Remote ( )

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

The Decision Scientist provides critical analytical support across the organization by gathering, analyzing, and interpreting data to solve business challenges and support strategic decision‑making. This role leverages moderately advanced statistical, mathematical, and quantitative techniques to identify trends, uncover insights, and develop data‑driven recommendations that improve operational efficiency, drive growth, and enhance profitability.

The ideal candidate is a strong analytical thinker who can work independently, collaborate with business partners across functions, and effectively communicate complex findings to technical and non‑technical audiences. This role may also provide informal guidance and mentorship to less experienced team members.

Essential Tasks & Leadership Philosophy

• Apply moderately advanced statistical, mathematical, and analytical techniques to solve medium‑to‑large‑scale business problems impacting current and future business strategies.
• Build descriptive and explanatory models or leverage outputs from predictive and machine learning models developed by others.
• Analyze large and complex datasets to identify trends, patterns, risks, and business opportunities.
• Utilize data visualization tools and advanced analytical methods, including: Distribution analysis, Correlation analysis, Outlier detection, Multivariate analysis, Time‑series analysis, Machine learning techniques.
• Conduct exploratory data analysis (EDA), test hypotheses, and validate findings with business stakeholders.
• Partner with cross‑functional teams to understand business objectives and develop data‑driven solutions.
• Collect, integrate, and transform data from multiple sources into cohesive datasets for analysis.
• Evaluate data quality and apply data governance and hygiene practices to ensure reliability and accuracy.
• Perform quality‑control checks, document processes, and collaborate with peers on data validation efforts.
• Work closely with IT, Data Engineering, Data Science, and other technical teams to optimize data pipelines and resolve data quality issues.
• Support the deployment, monitoring, and maintenance of predictive models within business workflows.
• Translate complex analyses into clear, actionable insights and recommendations for business leaders.
• Utilize effective storytelling and visualization techniques to make analytical findings accessible and impactful.
• Stay current on emerging data science methodologies, technologies, and industry best practices.
• Contribute to a culture of continuous learning and knowledge sharing.
• Provide informal coaching or mentorship to less experienced team members as needed.
• Perform other duties as assigned.

First Year Success Factors

• Establish strong partnerships with business stakeholders and become a trusted analytics advisor for key initiatives.
• Deliver actionable insights through advanced analytics, statistical modeling, and data visualization that support business decisions.
• Lead medium‑to‑large analytical projects that drive measurable improvements in efficiency, growth, customer experience, or profitability.
• Ensure data accuracy, integrity, and governance through rigorous validation, documentation, and quality control practices.
• Identify emerging trends and opportunities, translating complex data into clear recommendations that influence leadership decisions.

Education & Career Experience Requirements

• High School Diploma or equivalent required. Bachelor's degree preferred in data science, statistics, mathematics, business analytics or similar. Equivalent work experience may be considered in place of a degree.
• Minimum of three years of work experience required in data analysis, statistical or mathematical modeling, or related. Experience in insurance industry preferred.
• Demonstrated experience translating ambiguous business questions into analytical frameworks, actionable insights, and data‑driven recommendations.
• Proficiency with analytical and visualization tools such as SQL, Python, R, SAS, Tableau, Power BI, or similar technologies.
• Experience designing, conducting, and evaluating experiments, forecasts, scenario analyses, or predictive models to influence business outcomes and strategic decision‑making.
• Strong understanding of statistical methods, hypothesis testing, regression analysis, segmentation, forecasting, and performance measurement techniques.
• Proven ability to communicate complex analytical findings to executive and non‑technical audiences, influencing decisions through clear storytelling and business acumen.
• Insurance, financial services, risk management, or highly regulated industry experience preferred.

Benefits

• Farmers offers a competitive salary commensurate with experience, qualifications and location.
• CA Only: $102,450 - $174,240
• CO & ME: $96,075 - $150,260
• HI/IL/MN/VT Only: $96,075 - $160,710
• MA Only: $96,075 - $160,710
• o MD & VA: $96,075 - $160,710
• DC/NJ/NY/OH Only: $96,075 - $174,240
• Albany County, NY/Cleveland, OH: $102,450 - $150,260
• WA Only: $96,075 - $182,625
• 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, US - AZ - Phoenix, US - KS - Kansas City, US - MI - Grand Rapids

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.

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.