Intern Data Scientist

Job Title

Intern Data Scientist

Job Description

• Job Responsibilities:
• •Collaborates extensively on AI DevOps activities, leveraging multiple tool sets at the solution level to streamline development, testing, inference, deployment, and monitoring processes with moderate complexity.
• •Participates in discussions related to technical requirements, designs, and quality standards, providing inputs to ensure the robustness, scalability, and maintainability of AI solutions, working under direct supervision.
• •Integrates deployable versions of machine learning models developed by data scientists into end products, ensuring compatibility, performance, and reliability of all system components.
• •Handles data processing activities, including data cleansing, validation, and verification, to ensure the integrity and quality of data used for analysis and model training, with a focus on continuous improvement.
• •Trains and retrains AI systems as necessary to adapt to changing data distributions, business requirements, and performance objectives, optimizing model performance through iterative refinement.
• •Performs statistical analysis and fine-tuning of AI models using test results, hypothesis testing, and validation techniques to validate model assumptions, identify areas for improvement, and optimize model parameters.
• •Contributes to activities within the on-site engineer team, providing the whole deployment plan and pipelines.
• •Participates in the AI development process, working in pairing mode with equal team members, and actively contributing to requirements gathering, design discussions, code reviews, and quality assurance activities.
• •Interacts with business, market, and IT stakeholders to formulate clear and actionable requirements for AI solutions, ensuring alignment with business goals, user needs, and technical capabilities.
• •Ensures the quality of data and AI solutions developed, conducting thorough testing, validation, and verification activities to identify and address defects, errors, and performance issues before deployment.

• Minimum required Education:
• Master or PHD candidate in Biomedical Engineer, Computer Science, Information Management, Data Science, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.

• Minimum required Experience:
• Experience with Data processing, Data Analytics, AI Modeling or equivalent.

• Preferred Experience:
• Experience in using programming languages such as Python, R, JAVA, C/C++

• Preferred Certification:
• Artificial Intelligence Board of America (ARTiBA) certified

• Preferred Skills:
• •Troubleshooting
• •Data Analytics
• •Statistical Methods
• •Data Harmonization & Processing
• •Artificial Intelligence (AI)
• •Scripting & Automation
• •AI Algorithm Development
• •DevOps
• •Data Governance
• •LLM deployment