Data Scientist Senior Consultant I

Allstate

About The Position

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. This role is responsible for leading the use of data to make decisions. This includes: the development and execution 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 business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also begin to manage projects of medium complexity and partner directly with business partners.

Requirements

Familiarity with Time Series modeling techniques
Experience working directly with non-technical stakeholders and designing solutions to answer business questions
Artificial Intelligence Markup Language
Business Case Analyses
Business Problems
Data Analytics
Data Science
Predictive Analytics
Predictive Modeling
Waterfall Model

Nice To Haves

3 or more years of experience

Responsibilities

Utilizes effective project planning techniques to break down moderately complex machine learning/predictive modeling and/or development projects into tasks and ensure deadlines are kept
Identifies languages and tools that can bring efficiencies or needed techniques to the team
Collaborates with the team and works on data and business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
Understands the business’ problems to identify the optimal modeling approach.
Reviews, evaluates and communicates appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes.
With coaching, develops and executes communication strategy, keeping stakeholders informed and finding opportunities to influence the direction of work.
Uses best practices to develop statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions