Senior Decision Scientist - Flexible Work & Strategy

Capgemini; Los Angeles (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Comprehensive benefits package

Career development and training

Flexible work arrangements

Private health insurance

Pension plan

Paid time off

Training & Development

Job summary

Farmers Insurance is seeking a Senior Decision Scientist to lead high-impact analytical projects and translate complex data into strategic business recommendations in Los Angeles.

You will apply advanced statistical methods, conduct causal inference, and communicate findings to senior stakeholders, collaborating with data engineers and IT to improve data quality and business processes.

Qualifications

• Strong knowledge of statistical analysis and quantitative methodologies.
• Experience with Exploratory Data Analysis (EDA) and hypothesis testing.
• Experience with experimental design and causal inference techniques.

Responsibilities

• Lead complex analytical projects and present actionable recommendations to senior stakeholders.
• Analyze large datasets to identify trends, correlations, and opportunities.
• Develop descriptive/explanatory models and leverage predictive outputs for business decisions.
• Write code in Python and/or R to perform advanced data analysis and validation.
• Collaborate with business units to translate objectives into analytical solutions.
• Mentor colleagues and share best practices in analytics and data quality.

Skills

Statistical analysis

EDA

Experimental design

Causal inference

Python

R

SQL

Power BI

Excel

Data analytics

Education

Bachelor's degree in Data Science/Statistics/Mathematics/Business Analytics

Master's degree preferred

Tools

Python

R

SQL

Snowflake

Power BI

Excel

Job description

Farmers Insurance is seeking a Senior Decision Scientist to lead high-impact analytical projects and translate complex data into strategic business recommendations in Los Angeles.

You will apply advanced statistical methods, conduct causal inference, and communicate findings to senior stakeholders, collaborating with data engineers and IT to improve data quality and business processes.