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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Associate Manager - Remote - **Company:** Allstate Corporation - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $146,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Computing Security, R (Programming Language), Machine Learning, Software Tools, Tensorflow, SQL Databases, Pytorch, Delivery Pipeline, Infrastructure as Code (IaC), Containerization, Data Analytics, Artificial Intelligence Markup Language (AIML), Docker - **Published:** October 1, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87712469/1 ## About the Role * Aminimum of5 years ofhandson, practical experience using Python for data science, modelling, and building productionready solutions, along with experience using other modern data science tools (R, SQL, TensorFlow,PyTorch). * Working knowledge of CI/CD pipelines, containerization (Docker), observability concepts, and cloud security fundamentals. * Introductory experience or strong interest inGenerative or Agenticdevelopment. * Exposure toAWS Bedrock and/or Azure Foundry through projects, coursework, or onthejob experience. Desirable Skills * Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources. * Familiarity withAI driven software development tools and workflows. * Experience coaching and mentoring a team. Preferred Qualifications * 5 or more years of relevant experience., Analytics, Artificial Intelligence Markup Language, Artificial Intelligence Software, Business Model Development, Data Analytics, Data Science, Leadership, Model Development, Predictive Analytics, Predictive Modeling, Process Development (PD), Relationship Building, Strategic Management, When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload. To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter. Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview. ## Description This role plays a critical role inshaping howdata and AI drive decision making at Allstate. As a data science leader, you will guide and mentor junior data scientists, lead medium to high complexity initiatives, and influence how data driven decisions are designed, evaluated, and scaled across the enterprise. You will lead the strategic application of machine learning and predictive modeling,identifyingnew opportunities, advancing modeling approaches, and integrating internal and external data to improve business outcomes. Beyond model development, this role contributes to the design of the end-to-end decisioning ecosystem, partnering across business and technology teams to ensure insights translate into real-world impact. You will also play a key role in developing scalable, cloud based, and full stack capabilities that support the reliable deployment of machine learning, decisioning, and agentic systems, ensuring solutions are not only innovative but also durable, governable, and ready to operate at enterprise scale. Key Responsibilities * Reviews, evaluates,communicatesand makesrecommendationson appropriateness of modeling techniques and results to team,leadershipand 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 problemstoimprove the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. * Effectively understand thebusiness'problems and requirements toidentifytheoptimalmodeling approach. Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions. * Mentors and develop other data scientists. * 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. * Identifieslanguages and tools that can bring efficiencies or needed techniques to the team.Identifies new areas of data, research and models and develop 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. 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