Senior/Principal Data Scientist - NLP
closed
Veeva Systems
📍Remote - Spain
Summary
Join Veeva Systems, a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Requirements
- 4+ years of data science experience (or 2+ years with a Ph.D.)
- Master’s or Ph.D. in Computer Science, AI, Computational Linguistics, or a related field
- Strong foundation in Natural Language Processing (NLP) and Machine Learning (ML)
- Experience with Reinforcement Learning from Human Feedback (RLHF) methods like Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO) for training LLMs based on human preferences
- Hands-on experience with large language models and transformers (e.g., GPT, BERT)
- Proficient in Python and NLP libraries (e.g., NLTK, SpaCy, Hugging Face)
- Familiarity with Big Data frameworks (e.g., Ray, Spark) and Deep Learning frameworks (e.g., PyTorch, JAX)
- Experience with cloud infrastructure, containerization (Docker, Kubernetes)
- Excellent collaboration and communication skills for cross-functional teamwork
Responsibilities
- Adopt the latest NLP technologies and trends
- Develop LLM-based agents capable of performing function calls and using tools like browsers for enhanced data retrieval
- Design and implement end-to-end pipelines to extract predefined information from large-scale, unstructured, multi-domain, and multilingual data
- Use and develop techniques like named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question answering, and dense passage retrieval for information extraction
- Collaborate with data quality teams to define annotation metrics and conduct qualitative and quantitative evaluations
Benefits
- Work anywhere
- Personal development budget
- Veeva charitable giving program
- Fitness reimbursement
- Life insurance + pension fund
This job is filled or no longer available