Data Scientist Associate Manager – Remote

Data Scientist Associate Manager – Remote

United States

Fully Remote – As long as you live in the country specified in the job posting, you are not required to work in an office.

Manager

Data, Research, & Strategy

Job # : R31115

Posted on September 30, 2026

Key aspects of the role:

• Drive sales growth by engaging with interested prospective customers- all while working remote
• No cold calling— Connect through inbound calls and proactive outbound calls with active insurance shoppers
• Enjoy competitive compensation with a base salary + uncapped performance-based incentives
• Sell reputable products from Allstate and our family of brands

Role overview

Keys to Success

Working in Sales

Working together

Role overview

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 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 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.

• 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.

• Identifies languages 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. Manages various analytical and modeling projects with small number of team members.

• Essential Skills

• A minimum of 5 years of hands on, practical experience using Python for data science, modelling, and building production ready 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 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.

• LI-YS1

Skills

• 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

Compensation

Compensation offered for this role is 146,000 – 190,000 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