Data Scientist (Rating & Underwriting)
US-TX-Richardson
Careers (External)
Req #: 41007
Type: Regular Full Time
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Overview: Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good! Office Locations: Bloomington, Atlanta, Dallas, Phoenix HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment. Why Join Our Data Science Team? At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape. **Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. Responsibilities: State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of analytic solutions. Applicants for this posting will be considered for Data Scientist openings in: * Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm's insurance pricing and underwriting decisions Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist: * Develop and validate advanced analytic models * Provide input into and/or build datasets to support model development * Collaborate with other team members on scoping solutions and project decision points * Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners * Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices * Serve as a peer reviewer to other model development teams * Work on complex problems of diverse scopes * Establish and leverage a network of associates with business domain and data expertise * Instill a business-oriented mindset that drives the data science & research agenda * Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives Qualifications: Requirements: * Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc. * Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks * Experience with at least one statistical programming language: SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels What You Can Expect: Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins! **Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) for this opportunity.**
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