State Farm is seeking a Data Scientist to leverage advanced analytics, AI, and machine learning to influence decision-making, develop innovative solutions, enhance data-driven insights, and foster a culture of analytics excellence.
Requirements
- Minimum of 3 years of experience in predictive model development and analytics.
- At least 2 years of experience building advanced analytic solutions in a corporate environment, utilizing generalized linear models, time series analysis, cluster analysis, tree-based algorithms, or neural networks.
- Proficiency in statistical programming languages such as Python, R, or SAS.
- Experience designing, building, and deploying AI solutions, including natural language processing, large language models, computer vision, or generative AI.
- Familiarity with experimental design concepts for business experiments.
- Experience working in cloud-based environments like AWS or Linux systems.
- Experience interpreting business requirements to develop scalable data science solutions within regulated environments (insurance, healthcare, finance).
Responsibilities
- Develop, validate, and implement advanced analytic models and data-driven solutions to support strategic initiatives.
- Create and support datasets to facilitate AI and machine learning solution development.
- Design, build, and deploy AI solutions, including natural language processing, large language models, computer vision, or generative AI.
- Make strategic recommendations regarding data collection, integration, and retention aligned with business needs and best practices.
- Conduct peer reviews of model development work to ensure quality and accuracy.
- Assess model performance, investigate anomalies, and perform updates to optimize results continually.
- Support the integration of analytics into business processes to deliver measurable outcomes for State Farm’s AI/ML portfolio.
Other
- Master’s degree or higher in statistics, mathematics, economics, data science, operations research, industrial engineering, or a related field.
- Strong communication skills with the ability to manage multiple stakeholders across various levels of the organization.
- Collaborate with cross-functional teams to define project scope, objectives, and decision points.
- Present complex technical concepts to non-technical audiences, including leadership and business partners.
- Lead and mentor junior data scientists, interns, and technical teams to foster a collaborative learning environment.
- Build and maintain a network of domain experts and data professionals to enhance project outcomes.
- State Farm is an equal opportunity employer committed to fostering an inclusive environment. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or any other protected class.
