Data Scientist
We are seeking an experienced Data Scientist focused on developing and enhancing non-financial risk analytics capabilities.
The ideal candidate will have a strong background in data science, cloud technology (specifically AWS), and machine learning.
You will play a critical role in building data models, creating data pipelines, and developing analytical solutions that provide insights into risk management.
Location : 100% remote for Chicago, Toronto, Bay Area locals!
Responsibilities :
- Design, develop, and implement data models and ETL (Extract, Transform, Load) processes using AWS Glue and other AWS services.
- Build data pipelines to aggregate data from multiple sources and enable advanced analytics.
- Collaborate with cross-functional teams to develop machine learning models and AI capabilities using AWS SageMaker.
- Ensure data quality and governance by implementing best practices in data management.
- Work closely with stakeholders to understand business requirements and translate them into data-driven solutions.
- Support ongoing digital transformation initiatives by enabling advanced analytics and automation capabilities.
Qualifications :
- 5+ years of experience as a Data Scientist or in a similar analytical role.
- Strong experience with AWS cloud services, particularly AWS Glue and AWS SageMaker.
- Proficiency in Python, with experience in data manipulation and transformation.
- SQL knowledge; familiarity with R is a plus.
- Experience with ETL processes, including data ingestion, cleansing, normalization, and integration.
- Understanding of data governance, data quality assurance, and best practices in data management.
- Excellent communication skills (verbal and written) with the ability to interact with technical and non-technical stakeholders.
Preferred Qualifications :
- Experience in operational risk management, non-financial risk analytics, or a related field.
- Knowledge of governance, risk, and compliance (GRC) tools such as Archer.
Soft Skills :
- Strong sense of ownership and ability to work independently on assigned tasks and projects.
- Strong problem-solving skills and a passion for leveraging data to drive business outcomes.
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