Data Scientist- Hybrid

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Your role in the team This role is responsible for leading the use of data to make decisions, with a focus on supporting the Casualty business through predictive modeling and machine learning solutions. This includes the development and recommendation of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data, both internal and external, that improves our modeling and machine learning results and ultimately our decisions, and discovery of new business problems that can be solved through the use of machine learning/predictive modeling.

The role is responsible for assisting in the mentorship and development of junior data scientists. This role is also accountable for informing the strategy of the department and will begin to manage complex projects as an individual contributor.

Key responsibilities:

Uses best practices to develop complex statistical and machine learning techniques to build models that address business needs, including Casualty-related outcomes such as claim severity, disputes, settlement strategy, and operational efficiency. Reviews, evaluates, communicates and makes recommendations on the appropriateness of modeling techniques and results to the team, leadership and stakeholders to ensure these are well understood and incorporated into business processes.

Develops and executes communication strategy, keeps stakeholders informed, and influences business partners and senior leaders on the effectiveness of At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Your role in the team This role is responsible for leading the use of data to make decisions, with a focus on supporting the Casualty business through predictive modeling and machine learning solutions. This includes the development and recommendation of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data, both internal and external, that improves our modeling and machine learning results and ultimately our decisions, and discovery of new business problems that can be solved through the use of machine learning/predictive modeling.

The role is responsible for assisting in the mentorship and development of junior data scientists. This role is also accountable for informing the strategy of the department and will begin to manage complex projects as an individual contributor.

Key responsibilities:

Uses best practices to develop complex statistical and machine learning techniques to build models that address business needs, including Casualty-related outcomes such as claim severity, disputes, settlement strategy, and operational efficiency. Reviews, evaluates, communicates and makes recommendations on the appropriateness of modeling techniques and results to the team, leadership and stakeholders to ensure these are well understood and incorporated into business processes.

Develops and executes communication strategy, keeps stakeholders informed, and influences business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems, including the ability to explain technical information clearly to non-technical partners. Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept.

Manages analytical and modeling projects with a small number of team members and is expected to work independently with customers after initial onboarding. Supports, mentors, and coaches junior data scientists and team members as needed. Collaborates with and influences business units, including design teams and Casualty partners, to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.

Effectively understands business problems and requirements to identify the optimal modeling approach…