Data Scientist - Life/Health Insurance (Remote)

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!

Responsibilities

State Farm is seeking data scientists with Life and Health insurance industry experience. As a Data Scientist at State Farm, you will help our Life/Health insurance business partners build advanced analytic solutions to help drive results for the enterprise. You will serve not just as a subject matter expert and consultant, but also as a teacher. Through this role, you will work to increase the use of analytics for decision making across the company.

Why Join Our Team?

Being part of our data science team will help facilitate your professional growth across multiple development areas. First, you will strengthen your communication skills through interactions with your business partners that require you to articulate statistical concepts in a non-technical way. Additionally, the variety of projects that you work on will allow you to refine your knowledge for supervised and unsupervised learning techniques. Finally, the landscape of the data science field is quickly changing, so this role includes an opportunity for practical research which equates to unbounded development opportunities for your analytic skills.

Qualifications

Requirements:

• Experience with at least one statistical programming language: SAS, R, and/or Python
• Completed Masters or other advanced degrees in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
• Life insurance predictive modeling experience a must
• 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

Other Things We Look For:

• Experience with data cleansing, feature creation, feature selection, value imputation and dependent variable analysis
• Sound judgment when diagnosing and resolving problems within an area of expertise
• Actuarial exam progress and actuarial work experience
• Familiarity with DevOps systems such as GitLab
• Experience in prioritizing work using the Agile framework
• Experience gathering and interpreting business requirements to design and create scalable data science solutions in a regulated environment (e.g., insurance, healthcare, and finance)
• 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.
• Experience with accelerated underwriting programs, mortality modeling, survival models, and experience studies
• Excellent communication skills and the ability to work with multiple, diverse stakeholders across business areas and leadership levels

For Los Angeles candidates: Pursuant to the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with criminal histories.

For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

For Colorado and Washington State candidates:

Salary Range: $85,460 - $150,700

For California, NYC, and CT candidates:

Potential salary range: $85,460-$171,250

Potential yearly incentive pays up to 15% of base salary

Competitive Benefits, including:

401k Plan

Health Insurance

Dental/Vision plans

Life Insurance

Paid Time Off

Annual Merit Increases

Tuition Reimbursement

Health Initiatives

For More Details Visit Our Benefits Summary Page.

SFARM