Senior Decision Scientist

FBS - Senior Decision Scientist

Capgemini · Brazil (Remote) · — · Posted 2026-11-12

Workplace: remote

Department: Customer Service

Description

Farmers Insurance is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, Farmers Insurance is part of one the largest Insurance Groups in the world.

About the Role

We are looking for an experienced Senior Decision Scientist to join our team and provide critical analytical support for strategic business decisions.

In this role, you will apply advanced statistical, mathematical, and quantitative techniques to solve complex business challenges, uncover opportunities, and develop actionable recommendations that drive business performance, efficiency, growth, and profitability.

You will work with large datasets, develop and apply statistical methodologies, identify meaningful patterns, and translate complex analytical findings into clear business insights. This position requires a combination of strong technical expertise, business acumen, and the ability to independently lead analytical projects while collaborating with cross-functional teams and presenting recommendations to senior stakeholders.

What You'll Do

• Lead complex analytical projects, from understanding business challenges to developing solutions and presenting recommendations.
• Apply advanced statistical and quantitative methodologies to analyze large datasets and identify trends, patterns, correlations, and business opportunities.
• Conduct exploratory data analysis (EDA), hypothesis testing, experimental design, and causal inference to support data-driven decisions.
• Build descriptive and explanatory models or leverage outputs from predictive models to address business challenges.
• Use statistical programming languages such as Python and/or R to perform advanced data analysis.
• Extract, integrate, transform, and validate data from multiple sources to ensure accuracy and reliability.
• Partner with business stakeholders to understand strategic objectives and translate them into analytical solutions.
• Communicate complex analytical findings through data visualization, presentations, and clear business recommendations.
• Collaborate with data scientists, data engineers, IT, and other technical teams to improve data quality and analytical processes.
• Support the deployment and monitoring of predictive models within business workflows.
• Identify opportunities to improve analytical methodologies, tools, and business processes.
• Share knowledge and provide guidance or mentorship to less experienced team members when needed.

Requirements

• Strong knowledge of statistical analysis and quantitative methodologies.
• Advanced experience with Exploratory Data Analysis (EDA).
• Strong understanding of experimental design and hypothesis testing.
• Knowledge of causal inference techniques.
• Experience with distribution analysis, correlation, outlier detection, multivariate analysis, time series, and machine learning concepts.
• Ability to interpret complex datasets and translate findings into actionable recommendations.
• Python and/or R for statistical programming and data analysis.
• SQL, preferably with Snowflake or Microsoft SQL Server.
• Experience with data integration, transformation, and quality validation.
• Excel and Power BI for data analysis and visualization.
• Experience in data analytics, decision science, statistics, or a related quantitative field.
• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, or a related field.
• Master's degree preferred.
• Fluent English, both written and spoken.
• Demonstrated experience independently managing analytical projects and working with business stakeholders.

Benefits

1. Comprehensive benefits package
2. Career development and training opportunities
3. Flexible work arrangements
4. Dynamic and inclusive work culture within a globally renowned group
5. Private Health Insurance
6. Pension Plan
7. Paid Time Off
8. Training & Development

By applying for this position, candidates acknowledge and agree that:

• Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies.

• Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated.

• Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise.

Failure to comply with these conditions may impact the hiring decision or employment continuation

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