Data Scientist - GenAI Developer
Data Scientist - GenAI Developer
merck healthcareEarly Applicant
- Posted 6 hours ago
- Be among the first 10 applicants
Job Description
Work Your Magic with us!
Ready to explore, break barriers, and discover more We know you've got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That`s why we are always looking for curious minds that see themselves imagining the unimageable with us.
Your Role:
The Health Care Data Engineering Team is responsible for designing, developing, testing, and supporting automated end-to-end data pipelines and applications on Health Care
Apply now and become a part of our diverse team!
Ready to explore, break barriers, and discover more We know you've got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That`s why we are always looking for curious minds that see themselves imagining the unimageable with us.
Your Role:
The Health Care Data Engineering Team is responsible for designing, developing, testing, and supporting automated end-to-end data pipelines and applications on Health Care
- Job Title: Junior Data Scientist – Generative AI
- Experience Level: 0–2 years
- Core Focus: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and basic Agentic workflows [
- Model Integration: Build and fine-tune text or data applications using or open-source APIs.
- RAG Pipelines: Assist in creating search and retrieval systems that connect internal company databases to AI models.
- Data Preparation: Clean, format, and preprocess large text or numerical datasets for model training.
- Prompt Engineering: Test, evaluate, and optimize prompts to improve the accuracy and safety of AI outputs.
- Collaboration: Work with senior data scientists and data engineers to move experimental code into production testing.
- Required Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering.
- Programming: Strong coding skills in Python and familiarity with libraries like Pandas, NumPy, and Scikit-Learn.
- AI Knowledge: Foundational understanding of neural networks, Natural Language Processing (NLP), and transformer architectures.
- Tools: Basic experience with Git, Docker, and using LLM application frameworks (LangGraph, OpenAI APIs).
Apply now and become a part of our diverse team!
