Remote - Data Scientist - Model Validation

State Farm is seeking Data Scientists with experience in artificial intelligence, machine learning, and other advanced analytics methods to support the growing demand for data science 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 AI/ML solutions.

Applicants for this posting will be considered for Data Scientist openings in Enterprise Technology - Artificial Intelligence Strategy and Execution (ET-AISE). This area supports AI/ML solution development for Claims, Marketing, and other internal departments. It also hosts centers of excellence for natural language processing, experimental design, generative AI, & data science training/research.

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 development areas. In ET-AISE you are a data science consultant, allowing you to improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use. We are not just offering a job but a meaningful career! Come join our passionate team!

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

**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.

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity affords consideration for data scientists who can bring in-demand skills and disciplines to our data science suites. Below are some of the tasks you can expect in the typical day of a Data Scientist:

* Develop and validate advanced analytic models, designed experiments, and other data-driven solutions
* Provide input into and/or build datasets to support AI/ML solution 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
* Establish and leverage a network of associates with business domain and data expertise
* Instill a business-oriented mindset that delivers business outcomes for State Farm's AI/ML portfolio
* Assess model performance, investigate changes, and perform model updates as necessary.

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 Scientists also embrace staying current with the evolving data science landscape.

• Completed Masters, other advanced degrees
• 3+ years working hands-on building and validating predictive models
• Experience engaging in quantitative analysis on many non-standard and unique business problems
• Proficiency in data cleansing, feature creation, feature selection and value imputation
• Strong techncial skills in Python, R, and/or SAS
• Familiarity with cloud-based environments, specifically AWS and 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, neural networks
• Excellent communication skills and the ability to effectively manage diverse stakeholders at various levels and business areas
• Demonstrated sound judgment in diagnosing and resolving problems within your area of expertise

The Selection Process:
1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2. The initial assessment will involve a video interview. This assessment will give you the opportunity to introduce yourself to them and showcase your data science fundamentals with some technical questions. Once you have completed and submitted the video interview our data science leadership will evaluate your responses.
3. If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
4. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a final loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills, and experiences.

REMOTE: Qualified candidates residing outside of a 50-mile radius from a hub location listed below may be considered for 100% remote work arrangements, based on business need and where a candidate currently resides or is currently located.

HYBRID: Qualified candidates residing within a 50-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectation would be at your own expense. Your manager will share additional details with you regarding your department's approach and what it means for you.

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

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