Senior Data Scientist (Remote)
Netherlands - Amsterdam
Applications have closed
Veeva Systems
Veeva Systems Inc. is a leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, Veeva has more than 1,100 customers, ranging from the world's largest...What You'll Do
- Adopt the latest technologies and trends in NLP to your platform
- Experience with training, fine-tuning, and serving Large Language Models
- Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings
- Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data
- Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
- Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
- Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation
- Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production
Requirements
- 4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field
- Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques
- Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar
- Familiarity with large-scale data processing and analysis, preferably within the medical domain
- Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers)
- Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX)
- Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) and experience with bashing script
- Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team
- Used to start-up environments
- Social competence and a team player
- High energy and ambitious
- Agile mindset
Nice to Have
- Background in Medical NLP
- Experience in the life/health science industry, notably pharma
- Having published in AI space in a peer-reviewed journal
- Production-grade Development Skills
- Leadership skills and a solid network to help in hiring and growing the team
- Experience with NoSQL databases, especially MongoDB
- Familiarity with model registry solutions such as MLflow
Perks & Benefits
- Work anywhere
- Personal development budget
- Veeva charitable giving program
- Fitness reimbursement
- Life insurance + pension fund
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure BERT Computer Science Consulting Data quality Deep Learning DevOps Docker GCP GPT JAX Kubernetes Linguistics LLMs Machine Learning MLFlow ML models MongoDB NLP NLTK NoSQL Pharma Python PyTorch Research Semantic Analysis spaCy Spark Statistics Transformers Unstructured data
Perks/benefits: Career development Fitness / gym Health care Insurance Relocation support
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