Job description

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.

You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities. Plus, Allstate is changing how, when, and where we work-to lead us boldly into our future. We're empowering our employees to create better ways of working through more intentional use of communication and collaboration practices, processes and tools.

Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.

Department Summary


Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 330+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to creating an inclusive and diverse work environment where everyone has an equal opportunity to succeed. We strive to hire people from a wide variety of backgrounds so that we can better serve our increasingly diverse and multi-faceted customer base. Developing ourselves and others is key to our success.


Job Summary


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 decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.


Key Responsibilities


Uses best practices, with 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
  • Communicates findings to team and leadership and ensures models are well understood and incorporated into business processes
  • Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
  • Innovates on projects by using new modeling techniques or tools

Supervisory Responsibilities:
This job does not have supervisory responsibilities


Preferred Qualifications


Education and Experience
  • Master’s or PhD
  • 2 or more years of related experience
Certificates, Licenses, Registrations
  • None


Functional Skills


Experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts
  • Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
  • Demonstrated Analytic Agility and ability to quickly learn and switch topics
  • Ability to use and learn a wide variety of tools and languages to achieve results
  • Ability to code and develop prototypes in various languages
  • Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making


The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.


Good Work. Good Life. Good Hands®.


As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life - including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits


Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.


Allstate generally does not sponsor individuals for employment-based visas for this position.


Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.


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