Data Scientist

State Farm•Dunwoody, GA

59d•Hybrid

About The Position

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

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
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
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

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