State Farm

Data Scientist

Job description

Overview

We are not just offering a job but a meaningful career! Come join our passionate team!

As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.

We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!

Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!

Data Scientist

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.

Responsibilities

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

Qualifications

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!
  • 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*****

Office Location: Corporate office located in Bloomington, IL, OR State Farm Hubs: Richardson, TX; Dunwoody, GA; Phoenix AZ.

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