# FBS - Decision Scientist

**Company**: Capgemini
**Location**: Mexico
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Insurance
**Wikidata**: https://www.wikidata.org/wiki/Q1034621

**Apply**: https://jobs.workable.com/view/nAXVUEwViGc6vyjmSmUjrH/remote-fbs---decision-scientist-in-mexico-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/fbs-decision-scientist-819711f9-527/

## 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).

The Decision Scientist will provide analytical and statistical support to business teams by transforming complex data into meaningful insights and actionable recommendations.

Responsibilities:

- Apply statistical, mathematical, and quantitative techniques to solve business problems and support strategic decision-making.

- Conduct exploratory data analysis (EDA) to identify patterns, trends, correlations, outliers, and business opportunities.

- Develop descriptive and explanatory models to investigate business challenges and support data-driven recommendations.

- Apply statistical methodologies such as distribution analysis, correlation analysis, multivariate analysis, time series, hypothesis testing, and machine learning.

- Collect, integrate, clean, and transform data from multiple sources to create reliable datasets for analysis.

- Test hypotheses, validate findings, and evaluate potential business opportunities through analytical studies and experiments.

- Interpret complex datasets and translate analytical findings into clear business insights and recommendations.

- Collaborate with business stakeholders to understand challenges, define analytical approaches, and support complex business objectives.

- Use data visualization tools to communicate trends, findings, and recommendations effectively.

- Support the deployment, monitoring, and evaluation of predictive models developed by the team.

- Perform data quality checks and apply data validation techniques to ensure accuracy, consistency, and reliability.

- Partner with data scientists, data engineers, IT, and other technical teams to improve data integrity and analytical processes.

- Identify data quality issues and collaborate with relevant teams to investigate and resolve them.

- Prepare presentations and communicate analytical results to business partners and leadership, making technical concepts accessible to non-technical audiences.

- Apply data storytelling techniques to connect analytical findings with business objectives and recommended actions.

- Stay current with emerging statistical methodologies, data science technologies, machine learning techniques, and industry best practices.

- Share knowledge and support less experienced team members when appropriate, contributing to the overall quality of the team's work.

Requirements:

- Strong foundation in statistics, mathematics, and quantitative analysis.

- Experience with exploratory data analysis and statistical modeling.

- Knowledge of statistical methodologies, including hypothesis testing, correlation analysis, regression, multivariate analysis, and time series.

- Familiarity with machine learning concepts and predictive modeling.

- Programming experience using Python or R.

- Experience querying, manipulating, and analyzing large datasets using SQL.

- Familiarity with data visualization tools such as Power BI, Tableau, or similar platforms.

- Understanding of data preparation, integration, transformation, and quality validation.

- Ability to interpret analytical results and translate them into actionable business recommendations.

- Strong analytical thinking, problem-solving, and data storytelling skills.

- Professional experience in Data Science, Statistics, Advanced Analytics, Decision Science, Business Analytics, or a related field.

- Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field.

- Fluent English, with the ability to communicate analytical findings and collaborate with international stakeholders.

Benefits:

- Comprehensive benefits package

- Career development and training opportunities

- Flexible work arrangements

- Dynamic and inclusive work culture within a globally renowned group

- Private Health Insurance

- Pension Plan

- Paid Time Off

- Training & Development

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## Skills

### Required
- Python
- R
- SQL
- Power BI
- Tableau
- machine learning
- statistical modeling
- data analysis
- data visualization

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Source: [Apply at jobs.workable.com](https://jobs.workable.com/view/nAXVUEwViGc6vyjmSmUjrH/remote-fbs---decision-scientist-in-mexico-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)