Lead Data Scientist

ices and reusable components, ensuring consistent and high-quality execution of analytic products that serve the business. As a technical leader, you will drive the development and deployment of machine learning solutions, with a focus on observability, security, and efficient cloud utilization.

Key Responsibilities

• Identifies 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 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.

• Mentors and develops others

• 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 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.

Functional Experience

• 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).

Education

• Masters Degree (Preferred)

Experience

• 5 or more years of experience (Preferred)

Supervisory Responsibilities

• This job does not have supervisory duties.

Education & Experience (in lieu)

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Skills
Data Science, Machine Learning, Machine Learning Algorithms, Machine Learning Techniques, Predictive Modeling

Compensation
Compensation offered for this role is $121,600.00 - 206,650.00 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. And one where you can impact the future for the greater good.

You'll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we've proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together.

Allstate generally does not sponsor individuals for employment-based visas for this position.

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