[Remote] Senior Data Scientist - Agentic AI
Note: The job is a remote job and is open to candidates in USA. Allstate is a company that has been protecting families and their belongings for over 90 years. They are seeking a Senior Data Scientist to create data-driven solutions, focusing on AI agents and machine learning, while collaborating across teams to ensure best practices and high-quality execution.
Responsibilities
- Identifies LLMs, programming 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 AI/predictive modeling and/or development tasks into manageable subtasks, and ensure deadlines are kept. Executes various analytical and modeling projects while collaborating with peers, as needed
- 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 AI/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
Skills
- 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)
- AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK)
- 3 or more years of experience
- Prior risk management or AI governance experience
Company Overview