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OverviewWe 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!ResponsibilitiesIn this role you will be responsible for the independent review and validation of various types of models, including machine learning models, that are being developed or have been implemented at State Farm. Statistical areas of model review include but are not limited to problem design, data engineering, model development, performance validation, and plans for ongoing monitoring. Furthermore, you will rely on your experience to discuss alternative approaches as well as develop alternative models to the ones proposed by other data scientists. Moreover, the Model Validation team provides periodic independent statistical consultation, analysis, or modeling work apart from independent review. Why Join Our Team: Implementing solutions is critical for success for data science at State Farm. As part of the Model Validation team, your role will consist of problem identification, solution proposals and presentations to a wide variety of management & technical audiences. This role allows you to work on multiple concurrent projects in a community setting, develop yourself and others, and advance data science both at State Farm and externally. The variety of projects, technologies, and statistical techniques will create an unbounded development opportunity for enhancing your analytic skills. Qualifications- Completed Masters, other advanced degrees, and 3+ years of experience in an analytical field such as data science, quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc.
- 5+ years of experience building predictive models in a business environment preferred.
- Experience engaging in quantitative analysis on many non-standard and unique business problems. Candidates with experience conducting analysis in the Insurance or Financial industries preferred.
- Experience with data cleansing, feature creation, feature selection and value imputation.
- Experience with Python, R, and/or SAS
- Experience with cloud-based environments (e.g.AWS) and/or Linux
- Thorough understanding of generalized linear models
- Knowledge of at least two (2) of the following methods:
- time series analysis
- cluster analysis
- tree-based algorithms, or
- neural networks
- Excellent communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels
- Exercise sound judgment to diagnose and resolve problems within an area of expertise
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 opportunityFor 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 - $150,700For California, NYC, and CT candidates:Potential salary range: $85,460-$171,250Potential yearly incentive pay: up to 15% of base salaryCompetitive Benefits, including:401k PlanHealth InsuranceDental/Vision plansLife InsurancePaid Time OffAnnual Merit IncreasesTuition ReimbursementHealth InitiativesFor more details visit our pageSFARM#LI-LP1#LI-Remote#LI-Hybrid
- ID: #49423873
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State: Arizona
Tempe
85280
Tempe
USA
- City: Tempe
- Salary:
USD
TBD
TBD
- Job type: Permanent
- Showed: 2023-03-07
- Deadline: 2023-05-05
- Category: Et cetera