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.

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.

Job Summary:

We are looking for an Experienced Data Scientist as we expand our team supporting Claims Casualty.  The team is responsible for developing leading edge advanced analytical solutions to improve Allstate’s ability to quickly identify exposures and to continually assess and understand risk.  The team will develop prototypes and quickly test in market in partnership with claim professionals.  This is a fast-paced and exciting project! This role is responsible for leading the use of data to make decisions. This includes: the development and management 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. This role will also manage projects of medium complexity. The role will begin to provide some mentoring and development support to help develop new data scientists

Key Responsibilities:

• 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

• 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.

• 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.

• Identifies languages and tools that can bring efficiencies or needed techniques to the team

• 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 and mentors other team members.

Supervisory Responsibilities:

This job does not have supervisory duties.

Education and Experience:

• Masters Degree (Preferred)

• 3 or more years of experience (Preferred)

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Certificates, Licenses, Registrations:

• No Certification, License or Registration is required for the job.

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 preferred

• Experience with advanced system programing

• Experience working with Agile team, knowledge of advanced machine learning techniques and libraries and some knowledge of full stack development

Compensation offered for this role is $102,300.00-$140,025.00 per year and is based on experience and qualifications.

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/

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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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