Principal 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...The Role
Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner. Your work will shape the product roadmap for the entire family of Link products, especially newer products such as Link for Trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production. We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1200 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties. We are hiring from both Germany and Netherlands. You can work remotely anywhere in those countries, but you have to live in them and be legally authorized to work there without requiring Veeva’s support for a visa or relocation. If you do not meet this condition, but you think you are an exceptional candidate, please clarify it in a separate document alongside your CV.
What You'll Do
- Develop machine learning models at scale and in the AWS cloud to structure and analyze scientific data
- Adopt the latest technologies and trends in AI
- Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, 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, metrics, and perform a qualitative and quantitative evaluation
- Collaborate with engineering teams to implement models at a terminal scale
Requirements
- 8+ years of experience as a data scientist (or 6+ years with a relevant Ph.D. degree)
- Fluent in Python/Java and bashing scripts
- Excellent analytical skills and data curiosity
- Superior communication and presentation skills
- Mastery in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
- Mastery of Machine Learning, including up-to-date knowledge of the latest ML innovations and frameworks
- Used to start-up environments
- Social competence and a team player
- High energy and ambitious
- Agile mindset
Nice to Have
- Experience in life/health science industry, notably pharma
- Background in clinical (trial) data
- Having published in AI space in a peer-reviewed journal/conference
- Production-grade development Skills
- Cloud development, especially AWS
- Experience in NLP, NER, deduplication, entity-linking, graph-processing, or reinforcement learning
- Leadership skills and a solid network to help in hiring and growing the team
- Experience in containerization, Kubernetes, or relevant distributed computing technologies
- 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
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Consulting Deep Learning DevOps Engineering Kubernetes Machine Learning MLFlow ML models MongoDB NLP NoSQL Python PyTorch Research Spark TensorFlow Unstructured data
Perks/benefits: Career development Fitness / gym Health care Insurance Relocation support
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs