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 DescriptionAnalytics is responsible for aligning with and contributing to corporate growth and profitability objectives by providing expert guidance, influencing business strategies, executing flawlessly, and rigorously defending our work. This position will work on the Product Modeling &amp; Decision Science (PMDS) team as a part of the broader Auto &amp; Home Analytics department. The PMDS team develops and maintains models used in ratemaking, economic analysis and underwriting. They also develop best practices and support enhancements to processes supporting major initiatives and the adaptation of models/major initiatives to state specific implementations. Data Scientists will utilize various statistical modeling techniques to support the creation of models, will educate business partners on the use of these models and will participate in innovative work to continually improve rating plan sophistication (such as the incorporation of telematics data) and decision-making support. The Auto &amp; Home Analytics Department supports pricing of personal insurance lines of business utilizing accepted actuarial and statistical standards and methodologies. Data Scientists work closely with their Analytics Manager to support business goals. Support will be provided for those who seek the Certified Specialist in Predictive Analytics (CSPA) credential.Key Responsibilities:<ul><li>Uses best practices and traditional statistical/modeling techniques to develop and maintain rating, economic and other models as necessary and in consideration of the business goals of the model</li><li>Provide tools, educate and support state teams in the implementation of models and other decision-making support</li><li>Follows appropriate analyses to be conducted for projects to make recommendations to achieve corporate goals</li><li>With minimal direction plans, implements, manages, and/or contributes on projects that are up to moderate complexity and are small-to moderate scale using accepted project management standards</li><li>Forecasts short-term and long-term deliverables with assistance</li><li>Tracks own plan performance and project timeline and communicates and presents project status</li><li>Ensures project controls are in place throughout the lifecycle of the project within own tasks</li><li>Supports the development/ design of new plans, programs, processes, products up to moderate complexity</li><li>Assists in the development of communication strategies and materials to support new plans, programs, processes, products; solicits input from stakeholders</li><li>Participates in the evaluation of procedures and processes regularly and makes observations or suggests improvements</li><li>Contributes to market share growth and profitability by recommending changes to products, pricing, risk management</li><li>Understands standard market specific implications of business strategies</li><li>Assures proper execution of regulatory/legislative practices for Product Management</li><li>Understands and follows internal and external compliance requirements/standards</li><li>Trains/coaches team members or peers and actively shares expertise with peers</li></ul>    Job Qualifications<ul><li>Bachelor’s degree – preferably in related field of study such as finance, math/applied math, statistics/applied statistics, economics</li><li>Proven insurance business knowledge – for example, understands economics of insurance, familiarity with personal lines ratemaking and rating plans, etc.</li><li>Several years of experience working in personal or commercial lines of insurance</li><li>Aptitude and strong interest in statistical modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc. - some modeling experience is helpful but not required</li><li>Standard knowledge in the use of data sources and applications to conduct research</li><li>Strong technical aptitude, such as programming experience with Python, R, SAS, or SQL required.</li><li>Working knowledge of insurance regulation and related business constraints</li><li>Has an understanding of current industry and professional standards/ environment to impact decisions and indicate requirements</li><li>Can analyze data and review analysis from others and identify and resolve basic data issues</li><li>Intermediate computer proficiency in Microsoft Office</li><li>Possesses working knowledge of policies and procedures in management or other technical fields</li><li>Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels</li><li>High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner and to monitor processes throughout a team or department</li><li>Strong decision-making skills</li><li>Works effectively in a team environment</li></ul>#LI-JB1SkillsAnalytics, Decision Sciences, Predictive Analytics, Predictive Modeling, R ProgrammingCompensationCompensation offered for this role is $76,200.00 - 134,550.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.Allstate generally does not sponsor individuals for employment-based visas for this position.Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.For jobs in San Francisco, please click “<a href="https://urldefense.com/v3/__https:/sfgov.org/olse/sites/default/files/Document/FCO*20Poster*20Set*20All*20Languages*2010*2001*2018.pdf__;JSUlJSUlJQ!!IIU9BLNPZ2ob!Px2f9XWyJzj2IYSNKd2yIt3iNCquNTBdKl01sufyLfNQeN2bGNbgHXw7_TJg-F4Jn0T0dUxP7CPzLzPNxYrqtVELWg$" target="_blank">here</a>” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “<a href="https://urldefense.com/v3/__http:/bca.lacity.org/fair-chance__;!!IIU9BLNPZ2ob!Px2f9XWyJzj2IYSNKd2yIt3iNCquNTBdKl01sufyLfNQeN2bGNbgHXw7_TJg-F4Jn0T0dUxP7CPzLzPNxYo1my6fcA$" target="_blank">here</a>” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.To view the “EEO is the Law” poster click “<a href="https://urldefense.com/v3/__https:/www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf__;!!IIU9BLNPZ2ob!Px2f9XWyJzj2IYSNKd2yIt3iNCquNTBdKl01sufyLfNQeN2bGNbgHXw7_TJg-F4Jn0T0dUxP7CPzLzPNxYp1OEGvog$" target="_blank">here</a>”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance ProgramsTo view the FMLA poster, click “<a href="https://urldefense.com/v3/__https:/www.dol.gov/whd/regs/compliance/posters/fmlaen.pdf__;!!IIU9BLNPZ2ob!Px2f9XWyJzj2IYSNKd2yIt3iNCquNTBdKl01sufyLfNQeN2bGNbgHXw7_TJg-F4Jn0T0dUxP7CPzLzPNxYqw_mTXJA$" target="_blank">here</a>”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employees terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.