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Data Scientist

State Farm
Data Scientist
Arizona, US
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Job Description

State Farm's Property & Casualty Actuarial & Underwriting Modeling Department (PCM) is seeking Data Scientists with experience in utilizing predictive modeling techniques to produce advanced analytic solutions.

We have a growing and evolving infrastructure of predictive models that support State Farm’s insurance pricing and underwriting decisions. We are looking for innovative individuals who are self-starters and like being part of a team that develops and implements creative solutions. Working within the PCM Department, agile product teams have autonomy to drive outcomes that provide meaningful business value directly to our customers.


As a member of the P&C Actuarial & Underwriting Modeling community you will be challenged and empowered to grow professionally. We are dedicated to helping each of our associates develop to his or her full potential.

A Day In The Life Of A Data Scientist

  • Develop and validate advanced analytic models

  • Build datasets to support model development

  • Collaborate with other team members on scoping solutions and project decision points

  • Compile data exhibits to support models

  • Present on technical topics to peers, leadership, and other stakeholders

  • Communicate with business partners that require articulation of the work in non-technical terms

  • Lead/mentor other Data Scientists and other technical work teams

  • Make strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices

  • Perform advisory/consulting work for the organization, including specialized or innovative areas

  • Serve as a peer reviewer to other model development teams

  • Work on complex problems of diverse scope where analysis of situations or data requires evaluation of intangible variance factors

  • Establish and leverage a network of associates with business domain and data expertise by navigating the organization effectively

  • Instill a business-oriented mindset that drives the science and research agenda

  • Develop and initiate technical standards through interactions with professional societies

  • Be recognized by others as an authority/professional resource in his/her area of expertise

  • Build and maintain a relationship with the open source community by creating and contributing to open source data science software initiatives


Success in this job requires:

  • Must have a Master’s Degree (complete or to complete by Summer 2023) in Statistics, Data Science or similar field or actuarial designation.
  • Programing background in SAS, R and/or Python with emphasis on techniques relevant to predictive modeling such as; data set development, cleaning, EDA, and utilizing modeling procedures.
  • Relevant experience with model feature creation, selection and value imputation.
  • Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree based algorithms, generalized linear models, and neural networks.
  • Relevant work experience in insurance or closely related field, is a plus
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