Data Scientist

Farmers Group is hiring a Data Scientist to apply analytics and modeling techniques, including machine learning and data mining, to improve business outcomes and support operational projects. The role delivers data science projects, partners across business and technology teams, deploys models, communicates insights to leadership, and mentors junior team members.

Property & Casualty Insurance

• Health Insurance
• Auto Insurance
• Insurance
• Life Insurance
• Insider Connection @Farmers Insurance
• 2 email credits available today
• Beyond your network
• Ying Sun & 4 connections
• From your previous company
• Gurucharan Singh & 4 connections
• Previously@Tata Consultancy Services and...

Responsibilities

• 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 successfully within prescribed timelines, and execute at the intermediate level projects with a sense of urgency (25%)
• Utilize conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work, utilize moderate knowledge of advance programing, ETL and specialized modeling methods to execute projects, demonstrate clean reusable code and effective documentation, and encourage others to do the same (30%)
• Partner closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure, advise on fundamental concerns and serve as an objective and transparent partner to drive fact-based decision making and a measure of success culture (15%)
• Develop presentations and present to leadership, occasionally communicate complex technical material understandable to non-technical associates (10%)
• Manage moderate model deployments via MLOps techniques, work with analytics and IT teams to deploy models/rules in various platforms and support testing of new solutions (10%)
• Mentor junior data science team members and provide coaching and knowledge around technical and non-technical skills (10%)

Benefits

• Bonus Opportunity (based on Company and Individual Performance)
• 401(k)
• Medical
• Dental
• Vision
• Health Savings and Flexible Spending Accounts
• Paid Time Off
• Paid Parental Leave
• Tuition Assistance
• Hybrid work environment combining in-office work at least three days per week and up to two virtual days for employees who live within 50 miles of a Farmers corporate office; applicants beyond 50 miles may still be considered.
• Option to work remotely with required travel to local offices as needed, if within 50 miles of remote worksite.
• Meaningful volunteer projects
• Glassdoor
• 3.1
• Farmers Insurance is a brokerage firm that focuses on providing enterprises and individuals with innovative insurance solutions.
• Woodland Hills, California, USA
• https://www.farmers.com
• Late Stage
• Total Funding
• $300M
• Key Investors
• StartUp Hutch
• 2026-09-18
• Grant
• 2024-10-02
• Debt Financing· $300M
• Leadership Team
• John Griek
• Chief Financial Officer
• John Pham

Qualifications

• Position requires a Master's degree, or foreign equivalent, in Statistics, Business Analytics, or a closely related field of study, plus 3 years of experience in the job offered, or as a Predictive Analyst, Senior Predictive Analyst, or similar position applying analytics and modeling techniques
• 3 years of experience communicating complex data insights to technical and non-technical audiences
• 3 years of experience influencing internal and external stakeholders
• 3 years of experience applying data ethics and data privacy principles
• 3 years of experience working in a fast-paced, high-volume environment while meeting production deadlines
• 3 years of experience processing large-scale structured and unstructured multidimensional data using open-source, cloud-enabled analytical programming languages
• 3 years of experience consulting on data extraction, manipulation, and design for statistical modeling and monitoring needs
• 3 years of experience performing data analysis using SAS, SQL, and Python
• 3 years of experience working with the Snowflake data platform, including maintaining Snowflake workspaces for modeling data
• 3 years of experience performing data engineering tasks including extraction from relational databases, transformation, cleaning, validation, and analysis
• 3 years of experience creating data visualizations using Tableau and Power BI
• 3 years of experience applying explanatory, diagnostic, and inferential techniques including experimental design, hypothesis testing, clustering analysis, and Generalized Linear Modeling
• 3 years of experience selecting appropriate methodologies and techniques for analytical objectives
• 3 years of experience building predictive and prescriptive models using advanced machine learning and deep learning techniques
• 3 years of experience implementing ML/AI model deployment best practices
• 2 years of experience applying coding standards and version control using Git
• 2 years of experience working on cross-functional teams, including product implementation and testing
• Position requires a Master’s degree, or foreign equivalent, in Statistics, Business Analytics, or a closely related field of study, plus 3 years of experience in the job offered, or as a Predictive Analyst, Senior Predictive Analyst, or similar position applying analytics and modeling techniques.

Required skills

• Data Science, Deep Learning, Git, Machine Learning, Power BI, Predictive Modeling, Python, SAS, SQL, Snowflake, Statistical Modeling, Tableau

Experience

• 3+ years