Data Scientist Lead Consultant

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

Data Scientist Lead Consultant is responsible for leading the use of data to make decisions. 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. This role will also begin to manage projects of medium to high complexity.

Key Responsibilities

• Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems.

• Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept.  Manages various analytical and modeling projects with small number of team members.

• Mentors and develops others

• Uses best practices to develop complex 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, communicates and makes recommendation on appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.

• Collaborates with outside business units and works on data and complex 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. Effectively understand the business' problems and requirements to identify the optimal modeling approach. Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions.

Education

• Masters Degree (Preferred)

Experience

• 5 or more years of experience (Preferred)

Supervisory Responsibilities

• This job does not have supervisory duties.

Education & Experience (in lieu)

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

#LI-MS3

Skills

ACL Analytics, Critical Thinking, Data Science, Design, Fraud Prevention, Microsoft Power Business Intelligence (BI), Structured Query Language (SQL)

Compensation

Compensation offered for this role is $125,200.00 - 207,550.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Good Hands. Greater Together.

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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