Senior Associate Decision Scientist

Farmers Group Inc.; United States; Hybrid; MXN 1,739,000 - 3,154,000; Full time

Benefits offered by this job

401k

Medical

Vision

HSA/FSA

Job summary

Farmers seeks a Senior Associate Decision Scientist to transform complex business questions into analytical solutions shaping strategy across Direct & Strategic Partnerships. You will use Python, SQL, Excel, and Power BI to analyze large datasets, build predictive models, and deliver recommendations that drive growth and improve customer outcomes.

The ideal candidate blends technical depth with business acumen, thrives on solving ambiguous problems, and communicates insights effectively to

Qualifications

• Bachelor's degree in a quantitative field (data science, statistics, mathematics, economics, business analytics, CS)
• 3+ years applying advanced analytics, statistical modeling, or predictive analytics to support business decisions
• Strong ability to translate complex questions into analytical approaches and actionable insights
• Proficiency with Python, SQL, Excel, and Power BI for data exploration, modeling, and visualization
• Experience developing, validating, and deploying analytical models (forecasting, segmentation, driver analysis, optimization)
• Ability to communicate findings to both technical and non-technical audiences

Responsibilities

• Translate business questions into analytical approaches and actionable insights
• Build, validate, and deploy analytical models (forecasting, segmentation, driver analysis)
• Collaborate with cross-functional teams to deliver data-driven solutions
• Develop data-driven recommendations for leadership and stakeholders
• Maintain data quality and contribute to data governance practices
• Contribute to a culture of continuous learning and knowledge sharing

Skills

Advanced analytics

Statistical modeling

Python

SQL

Excel

Power BI

Data visualization

Communication

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, Computer Science

Tools

Python

SQL

Excel

Power BI

Job description

Senior Associate Decision Scientist

36283

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.

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

At Farmers, data powers better decisions. As a Sr. Associate Decision Scientist, you'll help transform complex business questions into actionable analytical solutions that shape strategy across our Direct & Strategic Partnerships organization.

In this role, you'll leverage advanced analytics, statistical modeling, and data visualization to uncover insights, identify opportunities, and influence critical business decisions. Working closely with business leaders and cross-functional partners, you'll apply tools such as Python, SQL, Excel, and Power BI to analyze large datasets, develop predictive models, and deliver recommendations that drive growth, improve customer outcomes, and optimize business performance.

Success in this role requires a blend of technical expertise, intellectual curiosity, and business acumen. The ideal candidate thrives in solving ambiguous problems, translating data into compelling stories, and turning analytical insights into measurable business impact.

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

Within the first 12 months, a successful candidate can expect to have achieved the following:

• Establish strong partnerships with business leaders and become a trusted advisor for data-driven decision-making across Direct & Strategic Partnerships.
• Deliver actionable insights through advanced analytics, statistical modeling, and predictive techniques that solve complex business challenges and influence strategic outcomes.
• Lead high-impact analytical projects from problem definition through implementation, driving measurable improvements in growth, customer experience, operational performance, and profitability.
• Develop, validate, and deploy analytical models that identify key business drivers, improve forecasting capabilities, and support informed decision-making.
• Leverage Python, SQL, Power BI, and other analytical tools to transform complex datasets into scalable analytical solutions and executive-ready insights.
• Translate complex analytical findings into clear, actionable recommendations that influence leadership decisions and advance business objectives.

Education & Career Experience Requirements

Candidates would ideally reflect the following professional qualifications and experiences:

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, Computer Science, or a related quantitative discipline. Equivalent combination of education and experience may be considered.
• Three or more years of experience applying advanced analytics, statistical modeling, predictive analytics, or quantitative problem-solving to support business decision-making. Experience in insurance, financial services, or other data-driven industries is preferred.
• Demonstrated ability to translate complex or ambiguous business questions into analytical approaches, actionable insights, and measurable business outcomes.
• Strong technical proficiency with Python, SQL, Excel, Power BI, and other analytical tools used for data exploration, statistical analysis, modeling, and visualization.
• Experience developing, validating, and deploying analytical models, including forecasting, segmentation, driver analysis, optimization, predictive modeling, and performance measurement.
• Solid foundation in statistical methods and analytical techniques, including hypothesis testing, regression analysis, experimental design, forecasting, and trend analysis.
• Proven ability to communicate complex analytical findings to both technical and non-technical audiences, translating data into clear recommendations that influence business strategy and decision-making.
• Farmers offers a competitive salary commensurate with experience, qualifications and location.
  o CA Only: $102,450 - $174,240
  o CO & ME:$96,075 - $150,260
  o HI/IL/MN/VT Only:$96,075 - $160,710
  o MA Only:$96,075 - $160,710
• o MD & VA:$96,075 - $160,710
  o DC/NJ/NY/OH Only: $96,075 - $174,240
  o Albany County, NY/Cleveland, OH: $102,450 - $150,260
  o WA Only: $96,075 - $182,625
• Bonus Opportunity (based on Company and Individual Performance)
• 401(k)
• Medical
• Vision
• Health Savings and Flexible Spending Accounts

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.