Allstate

Northfield Township, IL
10,000+ employees
The Allstate Corporation (NYSE: ALL) protects people from life's uncertainties with more than 113 million proprietary policies.

Full Stack Data Scientist

Full Stack Data Scientist

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.

Job Description

As a Full Stack Data Scientist, you’ll be responsible for working as part of a team to develop end-to-end data-driven solutions, from data collection and model development to deployment and maintenance of business-facing inference services. The ideal candidate will have experience developing and implementing cloud-based solutions, optimizing data models for cloud performance, and maintaining scalable predictive systems. As a technical contributor, this role will also begin to manage projects of small to medium complexity.

Key Responsibilities

• Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling

• Reviews, evaluates and communicates appropriateness of modeling techniques and results to team and leadership to ensure these are well understood and incorporated into business processes

• Uses best practices, with limited coaching, to develop statistical, machine learning techniques to build models that address business needs and executes on modeling/machine learning projects effectively, contributing to a wide variety of projects

• Utilizes effective project planning techniques to break down basic and occasionally moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept

• Innovates on projects by using new modeling techniques or tools

Education

• Masters Degree (Preferred)

Experience

• 2 or more years of experience (Preferred)

Education & Experience (in lieu)

• In

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