Senior Full Stack Data Scientist
| Company | Allstate Insurance Company |
|---|---|
| Location | Chicago, IL, USA |
| Salary | $95700 – $170925 |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior |
Requirements
- 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).
Responsibilities
- Identifies languages and tools that can bring efficiencies or needed techniques to the team.
- 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.
- 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.
Preferred Qualifications
- Masters Degree (Preferred)
- 3 or more years of experience (Preferred)