Senior Data Scientist – ML, Analytics & Growth (Hybrid)

Farmers Group Inc.; Los Angeles (CA); Hybrid; USD 102,000 - 138,000; Full time

Benefits offered by this job

Bonus Opportunity

401(k)

Medical

Vision

HSA / FSA

Job summary

Farmers Group (Woodland Hills, CA) seeks a Senior Associate Data Scientist to apply analytics and modeling techniques to improve business results, leverage customer information and behavioral data to influence strategic business decisions while using analytics, multivariate models, machine learning and data mining technologies.

Position requires a Bachelor’s degree in Statistics or related field and 3 years of experience in data analytics, with strong skills in SAS, Python, SQL, Snowflake,

Qualifications

• Bachelor’s degree in Statistics or related field plus 3 years of analytics experience.
• Experience communicating complex data insights to both technical and non-technical audiences.
• Experience with SAS, Python, SQL, and Snowflake.
• Experience with Tableau and Power BI for data visualization.
• Experience deploying ML/AI models and applying GLM, clustering, experiments.

Responsibilities

• Apply analytics and modeling techniques to improve business results.
• Lead projects from scoping to execution with clear measures of success.
• Collaborate with IT, data management/engineering teams to improve data infrastructure.
• Prepare documentation for regulatory communications and present findings to leadership.
• Deploy models using established MLOps practices.

Skills

Data storytelling

Machine learning

Statistical analysis

GLM modeling

Model deployment

Education

Bachelor’s degree in Statistics or related field

Tools

Python

SAS

SQL

Snowflake

Tableau

Power BI

Git

Job description

Farmers Group (Woodland Hills, CA) seeks a Senior Associate Data Scientist to apply analytics and modeling techniques to improve business results, leverage customer information and behavioral data to influence strategic business decisions while using analytics, multivariate models, machine learning and data mining technologies.

Position requires a Bachelor’s degree in Statistics or related field and 3 years of experience in data analytics, with strong skills in SAS, Python, SQL, Snowflake,