Data Scientist Associate Manager

Allstate•McCullom Lake, IL

12d

About The Position

This role plays a critical leadership role in shaping how data and AI drive decision making at Allstate. As a data science leader, you will guide and mentor junior data scientists, lead medium to high complexity initiatives, and influence how data driven decisions are designed, evaluated, and scaled across the enterprise. You will lead the strategic application of machine learning and predictive modeling, identifying new opportunities, advancing modeling approaches, and integrating internal and external data to improve business outcomes. Beyond model development, this role contributes to the design of the end-to-end decisioning ecosystem, partnering across business and technology teams to ensure insights translate into real-world impact. You will also play a key role in developing scalable, cloud based, and full stack capabilities that support the reliable deployment of machine learning, decisioning, and agentic systems, ensuring solutions are not only innovative but also durable, governable, and ready to operate at enterprise scale.

Requirements

5 or more years of experience (Preferred)
Artificial Intelligence Markup Language
Business Model Development
Cloud Infrastructure
Data Analytics
Data Pipelines
Data Science
Predictive Analytics
Predictive Modeling
Technical Leadership

Responsibilities

Reviews, evaluates, and communicates modeling approaches and results to teams, leadership, and stakeholders to ensure methods and insights are well understood and incorporated into business processes.
Develops and executes communication strategies that keep stakeholders informed and influence business partners and senior leaders on the effectiveness of machine learning and predictive modeling.
Collaborates with business units to address complex data and business problems by designing, building, and implementing machine learning and predictive models.
Effectively interprets business needs to identify the optimal modeling approach and develops frameworks and prototypes that integrate data and modeling techniques to drive decision‑making.
Uses best practices in advanced statistical and machine learning techniques to build models that address business needs and improve the accuracy and impact of data‑driven decisions.
Identifies new tools, languages, data sources, and modeling approaches that enhance team efficiency, expand analytical capabilities, and unlock solutions to emerging business problems.
Builds and maintains foundational cloud capabilities to support scalable, secure, and reliable deployment of agentic and decisioning systems, including data ingestion, compute, storage, workflow automation, monitoring, and model‑serving frameworks.
Applies effective project‑planning techniques to decompose complex modeling and development initiatives into executable tasks, manage scope, and ensure timelines are met.
Leads analytical and modeling projects with small teams or cross‑functional partners.
Mentors and develops other data scientists, providing guidance, elevating technical skills, and fostering a culture of learning and excellence.