Data Scientist Associate Manager - Remote

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.  

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Skills

Compensation

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.

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Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

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.