1

At Home Data Scientist Risk Jobs in Arizona (NOW HIRING)

... om 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 ...

At USAA, our mission is to empower our members to achieve financial security through highly ... Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ...

At USAA, our mission is to empower our members to achieve financial security through highly ... Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ...

At State Farm, we believe in fostering professional growth and development. As a data scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... at your choice of either the PayPal office or your home workspace, ensuring that you equally have ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Clinical risk stratification * Patient adherence forecasting * Providerutilizationand throughput prediction * Perform feature engineering using clinical, operational, and financial data * Experiment ...

$49K/yr

The degree must be in a major field of study (at least at the baccalaureate level) that is ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

Sprouts is currently at the beginning of a journey to provide personalized experiences to all of our customers every time they interact with us. The Data Scientist will join a team of other data ...

Sprouts is currently at the beginning of a journey to provide personalized experiences to all of our customers every time they interact with us. The Data Scientist will join a team of other data ...

... science workloads at scale * Master's degree in Computer Science, Statistics, Mathematics ... Exposure to industry-specifi c domains such as ecommerce, marketing analytics, risk/fraud, supply ...

New

... science workloads at scale * Master's degree in Computer Science, Statistics, Mathematics ... Exposure to industry-specifi c domains such as ecommerce, marketing analytics, risk/fraud, supply ...

New

next page

Showing results 1-20

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Arizona? The most popular types of Data Scientist Risk jobs in Arizona are:
What are popular job titles related to At Home Data Scientist Risk jobs in Arizona? For At Home Data Scientist Risk jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Arizona look for? The top searched job categories for At Home Data Scientist Risk jobs in Arizona are:
What cities in Arizona are hiring for At Home Data Scientist Risk jobs? Cities in Arizona with the most At Home Data Scientist Risk job openings:
Data Scientist

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago


State Farm rating

7.4

Company rating: 7.4 out of 10

Based on 1,524 frontline employees who took The Breakroom Quiz

210th of 281 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

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) or future need 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!

**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. 


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $102,000 - $163,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary


At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

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

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!

**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. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

What State Farm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom