Hybrid Decision Scientist & Analytics

Farmers Group Inc.; Kansas City (KS); Hybrid; USD 90,000 - 125,000; Full time

Benefits offered by this job

Bonus Opportunity

401(k)

Medical

Vision

HSA/FSA

Job summary

Farmers is seeking a Decision Scientist to provide analytical support across the organization by gathering, analyzing, and interpreting data to solve business challenges and support strategic decision-making.

The role applies moderately advanced statistical and quantitative techniques to identify trends, uncover insights, and develop data-driven recommendations that improve operational efficiency, growth, and profitability.

Qualifications

• Bachelor's degree preferred in data science, statistics, mathematics, business analytics or similar.
• Minimum of three years of work experience in data analysis, statistical or mathematical modeling, or related fields.
• Proficiency with SQL, Python, R, SAS, Tableau, Power BI or similar tools.
• Experience translating ambiguous business questions into analytical frameworks and data-driven recommendations.

Responsibilities

• Apply moderately advanced statistical and analytical techniques to solve medium-to-large-scale business problems.
• Build descriptive and explanatory models or leverage outputs from predictive models.
• Analyze large datasets to identify trends, risks and opportunities.
• Collaborate with cross-functional teams to meet business objectives and develop data-driven solutions.
• Translate complex analyses into clear, actionable insights for leaders and stakeholders.

Skills

Analytical thinking

Communication

Mentorship

Education

Bachelor's degree preferred in data science, statistics, mathematics, business analytics or similar

High School Diploma or equivalent

Tools

SQL

Python

R

SAS

Tableau

Power BI

Job description

Farmers is seeking a Decision Scientist to provide analytical support across the organization by gathering, analyzing, and interpreting data to solve business challenges and support strategic decision-making.

The role applies moderately advanced statistical and quantitative techniques to identify trends, uncover insights, and develop data-driven recommendations that improve operational efficiency, growth, and profitability.