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 DescriptionThis role is responsible for leading the development of end-to-end data-driven solutions, from data collection and model development to deployment and maintenance of business-facing inference services. The ideal candidate will have experience designing and implementing cloud-based solutions, optimizing data models for cloud performance, and maintaining scalable predictive systems. This role will collaborate across teams to establish best practices and reusable components, ensuring consistent and high-quality execution of analytic products that serve the business. As a technical leader, you will drive the development and deployment of machine learning solutions, with a focus on observability, security, and efficient cloud utilization.<h3>Key Responsibilities</h3>• 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 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.  <h3>Functional Experience:</h3> • Experience in building and optimizing cloud-based machine learning systems, with proficiency in at least one major cloud provider.   • Experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resources  • Strong understanding of CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices.  • Familiarity with modern data science tools and libraries (e.g., Python, R, SQL, TensorFlow, PyTorch). #LI-TE1<h3>Education</h3>• Masters Degree (Preferred)<h3>Experience</h3>• 3 or more years of experience (Preferred)<h3>Supervisory Responsibilities</h3>• This job does not have supervisory duties.<h3>Education &amp; Experience (in lieu)</h3>• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.SkillsArtificial Intelligence Markup Language, Business Model Development, Business Process Development, Data Analytics, Data Science, Machine Learning, Machine Learning Techniques, Predictive Analytics, Python (Programming Language)CompensationCompensation offered for this role is $95,700.00 - 170,925.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.Allstate generally does not sponsor individuals for employment-based visas for this position.Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.For jobs in San Francisco, please click “<a href="https://urldefense.com/v3/__https:/sfgov.org/olse/sites/default/files/Document/FCO*20Poster*20Set*20All*20Languages*2010*2001*2018.pdf__;JSUlJSUlJQ!!IIU9BLNPZ2ob!Px2f9XWyJzj2IYSNKd2yIt3iNCquNTBdKl01sufyLfNQeN2bGNbgHXw7_TJg-F4Jn0T0dUxP7CPzLzPNxYrqtVELWg$" target="_blank">here</a>” for information regarding the San Francisco Fair Chance Ordinance. 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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.