Data Scientist
Tasks
- Assess and implement new technologies and tools for data capabilities
- Automate analytic solutions and scalable analytics capabilities
- Build RAG models using AWS Bedrock
- Collaborate with mission teams to gather requirements
- Communicate findings and recommendations to technical and non technical stakeholders
- Design and implement data science frameworks across multi-cloud environments
- Develop machine learning models for data analysis and automation
- Develop real-time data processing solutions at scale
- Integrate AI/ML into applications and systems
- Lead complex data science projects from conception to implementation
- Mentor junior data scientists
- Support data webforms using SQL databases and API connections
Perks/Benefits
- Continuing education
- Flexible time off
- Health care
- Learning and development
- Retirement benefits
- Wellness benefits
Skills/Tech-stack
AWS | AWS Bedrock | Azure | Data Processing | Hadoop | Kafka | Machine Learning | NoSQL | PowerBI | Python | RAG | Real Time | Real-time Data | Real-time Data Processing | SQL | Scala | Spark | Statistical Analysis | Tableau | Unix Shell
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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