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Job Analysis:
The Lead Data Scientist - Program Manager at State Farm is fundamentally tasked with developing a robust pipeline of data science talent through mentoring and overseeing the Modeling & Analytics Graduate Network (MAGNet) internship program. This role necessitates not only technical prowess in data science and predictive modeling but also strong leadership capabilities to guide interns and collaborate across various departments and levels of the organization. The candidate will face challenges such as effectively recruiting suitable interns, managing diverse project scopes, and communicating outcomes to senior leadership, all while ensuring that the projects align with business needs and provide tangible results. Success in this position will be characterized by the ability to mentor new talent, drive meaningful contributions from interns to business initiatives, and foster collaboration between academic and corporate environments. In this hybrid role based in Tempe, AZ, the combination of interpersonal skills, data proficiency, and strategic vision will be critical to harnessing the potential of emerging data scientists and enhancing State Farm's analytics capabilities.
Company Analysis:
State Farm operates in the insurance and financial services industry, positioning itself as a market leader committed to helping individuals manage risks and recover from life's uncertainties. The company's mission fosters a culture of community involvement and innovation, suggesting that employees are expected to embody these principles in their roles. This context infers a high level of responsibility regarding social impact and a focus on long-term, holistic solutions. Within this framework, the Lead Data Scientist role is crucial; it not only enhances State Farm's data analytics capabilities through the MAGNet program but also supports the company's growth and strategic initiatives in data-driven decision-making. The collaborative environment, especially with Arizona State University, indicates a commitment to education and development. This role is likely positioned as a cross-functional player, with visibility to both data science and leadership teams, reflecting the organization’s value on mentorship and professional development. The ideal candidate will thrive in a culture that values continuous learning, community engagement, and the merging of academic insight with practical application, all geared towards achieving State Farm’s overarching goals.