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Data Analysis
Senior Data Scientist
@Civix
[Hiring] Senior Data Scientist @Civix
Apr 02, 2025 - Civix is hiring a remote Senior Data Scientist. 💸 Salary: unspecified. 📍Location: USA.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
We are seeking a Senior Data Scientist with expertise in AWS AI/ML, Bedrock, and data engineering to play a key role in customizing foundation models (FMs) using Retrieval-Augmented Generation (RAG), optimizing AWS Glue ETL workflows, and integrating AI-driven insights into dynamic reporting solutions.
This role will work closely with Full Stack Developers, Product Owners, and AWS Cloud Architects to ensure that AI-driven insights align with visualization requirements.
Key Responsibilities
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AI/ML Development & AWS Bedrock Customization
- Customize AWS Bedrock foundation models (FMs) using Retrieval-Augmented Generation (RAG) for domain-specific applications.
- Build and fine-tune ML models for entity resolution, predictive analytics, and data enrichment.
- Implement ML inference pipelines using AWS SageMaker and integrate models into AWS Glue workflows.
- Utilize Bedrock-powered AI to enable intelligent search, summarization, and insights in reports and dashboards.
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Data Engineering & AWS Cloud Integration
- Design and implement AWS Glue ETL jobs using AWS Glue Studio for scalable data transformation.
- Work with AWS Glue Crawlers and AWS Glue Data Catalog to optimize metadata management.
- Develop Athena and Redshift queries for efficient data retrieval and processing.
- Automate ML model deployment using AWS Step Functions and Lambda.
-
Architectural Data Design for AI-Driven Visualization
- Work closely with Full Stack Developers to ensure AI-driven insights are structured for integration into Power BI.
- Architect data structures that support shape file-based geographic visualizations, ensuring compatibility for Full Stack Developers to implement in Power BI.
- Ensure role-based access controls (RBAC) are correctly applied at both the visualization and row-level to control who can see which reports and data subsets.
Qualifications
- 5+ years of experience in Data Science, AI/ML, or a similar role with hands-on AWS experience.
- Expertise in customizing AWS Bedrock foundation models (FMs) using RAG.
- Strong programming skills in Python (Pandas, NumPy, PySpark, Hugging Face, LangChain, TensorFlow, PyTorch).
- Experience building AWS Glue ETL jobs via AWS Glue Studio.
- Hands-on experience with Athena, Redshift, SageMaker, Step Functions, and Lambda.
- Understanding of data architectures that support shape file-based geographic visualizations in Power BI (implementation handled by Full Stack Developers).
- Strong knowledge of role-based access controls (RBAC) for both visualization access and row-level data security.
Preferred Qualifications
- Experience integrating AI insights into Power BI reports or web-based dashboards.
- Knowledge of AWS Lake Formation, data security models, and compliance best practices.
- Familiarity with GovTech, election software, or compliance-driven AI analytics (a plus).
- Experience working with Product Owners and Customers to translate Product Vision to concept and MVP – full lifecycle opportunity.
- Experience directly translating customer and business needs and translating them into actionable technical product outcomes.
- Experience in data-lab or start-up environment.
Company Description
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Data Analysis
Data Analysis
|
Salary
💸
unspecified
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Apr 02, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
