Data Scientist Associate Manager

Role Description

This role plays a critical role in shaping how data 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, identifying new 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, communicates and makes recommendations on appropriateness of modeling techniques and results to team, leadership and stakeholders.
• Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling.
• Collaborates with outside business units to improve the effectiveness of business decisions through designing, building, and implementing machine learning/predictive models.
• Effectively understands 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.
• Mentors and develops other data scientists.
• Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs.
• Identifies languages and tools that can bring efficiencies or needed techniques to the team.
• Utilizes effective project planning techniques to manage scope of projects and ensure deadlines are kept.
• Manages various analytical and modeling projects with a small number of team members.

Qualifications

• A minimum of 5 years of hands-on, practical experience using Python for data analysis, modeling, and building production-ready solutions.
• 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 in Generative or Agentic development.
• Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on-the-job experience.

Desirable Skills

• Basic familiarity with Infrastructure as Code (IaC) concepts and tools for provisioning and managing cloud resources.
• Familiarity with AI driven software development tools and workflows.
• Experience coaching and mentoring a team.

Preferred Qualifications

• 5 or more years of relevant experience.

Supervisory Responsibilities

• This job has supervisory duties.

Compensation

• Compensation offered for this role is $134,000.00 - $209,750.00 annually and is based on experience and qualifications.

Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• Monthly connectivity reimbursement for employees eligible to work from home.
• Dedicated, private workspace required when working from home.
• Reliable internet required, with minimum speeds of 50 MB download and 5 MB upload.