[Remote] Sr. Associate Data Scientist Job Details | Farmers Insurance Careers

Note: The job is a remote job and is open to candidates in USA. Farmers Insurance is a company that values creativity and accountability, and they are seeking a Sr. Associate Data Scientist to leverage analytics and modeling techniques to improve business outcomes. The role involves executing data science projects, collaborating with various teams, and communicating complex information clearly to stakeholders.

Responsibilities

• Execute on standard business challenges involving data science
• Succeed in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines
• Execute on routine projects with a sense of urgency
• Utilize conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work
• Utilize basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills
• Partner closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure
• Advise on general matters and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture
• Contribute to development of presentations and present to leadership
• Communicate complex technical material understandable to non-technical associates
• Execute basic to intermediate model deployments via established MLOps techniques
• Work with analytics and IT teams to deploy models/rules

Skills

• Master's degree, or foreign equivalent, in Statistics, or a closely related field of study
• 2 years of experience in the job offered, or as a Predictive Analyst, Research Consultant, Business Analyst, or similar position applying analytics and modeling techniques to improve business results
• 2 years of experience with performing descriptive data analysis, statistical analysis, predictive modeling, and data processing
• 2 years of experience with performing descriptive, statistical and predictive data analysis to address real business problems
• 2 years of experience with implementing new programs and initiatives, using SQL, SAS, Python, and R
• 2 years of experience with processing large datasets from different sources for reporting
• 2 years of experience working with the following software: Tower Watson Emblem, ArcGIS, and IBM SPSS Modeler

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

Company Overview