Data Scientist

Summary

Farmers Insurance is an insurance company focused on helping customers achieve peace of mind through customer-centered services and innovative solutions. The Data Scientist will apply analytics, machine learning, data mining, and modeling techniques to improve business outcomes, support operational projects, manage model deployments, and mentor junior team members.

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%)

Skills

• Applicants beyond fifty (50) miles may still be considered
• 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
• Must have 3 years of experience with each of the following: communicating complex data insights to technical and non-technical audiences; influencing internal and external stakeholders; applying data ethics and data privacy principles; working in a fast-paced, high-volume environment while meeting production deadlines; processing large-scale structured and unstructured multidimensional data using open-source, cloud-enabled analytical programming languages; consulting on data extraction, manipulation, and design for statistical modeling and monitoring needs; performing data analysis using SAS, SQL, and Python; working with the Snowflake data platform, including maintaining Snowflake workspaces for modeling data; performing data engineering tasks including extraction from relational databases, transformation, cleaning, validation, and analysis; creating data visualizations using Tableau and Power BI; applying explanatory, diagnostic, and inferential techniques including experimental design, hypothesis testing, clustering analysis, and Generalized Linear Modeling; selecting appropriate methodologies and techniques for analytical objectives; building predictive and prescriptive models using advanced machine learning and deep learning techniques; and implementing ML/AI model deployment best practices
• Must also have 2 years of experience with each of the following: applying coding standards and version control using Git; and working on cross-functional teams, including product implementation and testing
• Option to work remotely with required travel to local offices as needed, if within 50 miles of remote worksite

Qualifications

Must Haves

• Applicants beyond fifty (50) miles may still be considered
• 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
• Must have 3 years of experience with each of the following: communicating complex data insights to technical and non-technical audiences; influencing internal and external stakeholders; applying data ethics and data privacy principles; working in a fast-paced, high-volume environment while meeting production deadlines; processing large-scale structured and unstructured multidimensional data using open-source, cloud-enabled analytical programming languages; consulting on data extraction, manipulation, and design for statistical modeling and monitoring needs; performing data analysis using SAS, SQL, and Python; working with the Snowflake data platform, including maintaining Snowflake workspaces for modeling data; performing data engineering tasks including extraction from relational databases, transformation, cleaning, validation, and analysis; creating data visualizations using Tableau and Power BI; applying explanatory, diagnostic, and inferential techniques including experimental design, hypothesis testing, clustering analysis, and Generalized Linear Modeling; selecting appropriate methodologies and techniques for analytical objectives; building predictive and prescriptive models using advanced machine learning and deep learning techniques; and implementing ML/AI model deployment best practices
• Must also have 2 years of experience with each of the following: applying coding standards and version control using Git; and working on cross-functional teams, including product implementation and testing
• Option to work remotely with required travel to local offices as needed, if within 50 miles of remote worksite

Benefits

• Bonus Opportunity (based on Company and Individual Performance)
• 401(k)
• Medical
• Dental
• Vision
• Health Savings and Flexible Spending Accounts
• Life Insurance
• Paid Time Off
• Paid Parental Leave
• Tuition Assistance
• Hybrid work environment with at least three (3) days in office and up to two (2) days virtual for employees who live within fifty (50) miles of a Farmers corporate office
• Option to work remotely with required travel to local offices as needed, if within 50 miles of remote worksite
• Meaningful volunteer projects