Hybrid Data Scientist - ML & Analytics Impact

Farmers Group Inc.; Los Angeles (CA); Hybrid; USD 124,000 - 151,000; Full time

Benefits offered by this job

401(k)

Medical

Vision

Health Savings Account

Flexible Spending Account

Bonus Opportunity

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

• Master’s degree in Statistics, Business Analytics, or a closely related field.
• 3 years of experience applying analytics and modeling techniques.
• Experience with SAS, SQL, and Python.
• Experience with the Snowflake data platform.
• Data visualizations with Tableau and Power BI.
• Experience deploying ML/AI models.

Responsibilities

• Apply analytics and modeling techniques to improve business outcomes.
• Lead moderate projects with defined success measures and timelines.
• Collaborate with IT, business, and data management teams.
• Develop presentations and communicate complex technical material to leadership.
• Mentor junior data science team members.

Skills

Data analytics

Modeling techniques

Communication

Data visualization

Python

Education

Master's degree in Statistics or Business Analytics

Tools

SAS

SQL

Python

Snowflake

Tableau

Power BI

Git

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