Data Scientist - Hybrid, Impactful ML & Analytics

Farmers Group Inc.; Woodland, Northern (CA, KY); Hybrid; USD 137,000 - 157,000; Full time

Benefits offered by this job

Bonus Opportunity (based on Company)

401(k)

Medical

Vision

Health Savings and Flexible Spending

Job summary

Farmers Group (Woodland Hills, CA) seeks a Data Scientist to apply analytics and modeling techniques, leveraging machine learning and data mining to improve business outcomes, support operational projects, and perform routine tasks with moderate guidance from senior team members.

Specific duties include: execute on moderate business challenges involving data science, succeed in projects by scoping, defining measures of success, utilizing a data science vision for project success and accomplish

Qualifications

• 3+ years of experience applying analytics and modeling techniques.
• Experience with SAS, SQL, Python and Snowflake for data analysis.
• Strong communication to both technical and non-technical audiences; ability to deploy models.

Responsibilities

• Develop analytics and modeling to improve business outcomes.
• Lead moderate ML model deployments via MLOps.
• Collaborate with IT, business and data teams to improve data infrastructure.
• Present findings to leadership; translate complex technical material for non-technical audiences.

Skills

Data analytics

Machine learning

Python

SQL

SAS

Snowflake

Tableau

Power BI

MLOps

Data visualization

Education

Master’s degree in Statistics

Master’s degree in Business Analytics

Tools

Snowflake

Tableau

Power BI

Git

ETL processes

Job description

Farmers Group (Woodland Hills, CA) seeks a Data Scientist to apply analytics and modeling techniques, leveraging machine learning and data mining to improve business outcomes, support operational projects, and perform routine tasks with moderate guidance from senior team members.

Specific duties include: execute on moderate business challenges involving data science, succeed in projects by scoping, defining measures of success, utilizing a data science vision for project success and accomplish