Overview
On Site
Full Time
Skills
Property and casualty insurance
Time series
Financial services
Training and development
Data Science
Decision-making
Data collection
Business requirements
Open source
Marketing operations
Industrial engineering
Cluster analysis
Data
Underwriting
Modeling
Insurance
Finance
Communication
Analytical skill
Actuarial Science
PCM
Pricing
Analytics
Expect
Collaboration
Leadership
Mentorship
Network
Research
Statistics
Mathematics
Economics
Algorithms
Software development
SAS
R
Python
Cloud computing
Amazon Web Services
Linux
SQL
Management
Testing
Job Details
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 , and of joining the State Farm team!
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) 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:
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:
Qualifications
Requirements:
Other Things We Look For:
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!
What Else?
**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.
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 , and of joining the State Farm team!
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) 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!
What Else?
- Competitive Benefits, Pay and Bonus Potential
- Volunteer opportunities: Get involved and give back to the community!
- Continuing Education Support: We support opportunities for you to learn and grow!
- A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
- Exceptional 401k Plan
- We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!
**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.