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