Your new company
At our partner, they bring together the world’s best talent to realize our vision of a world without fear of cancer. Together, they work passionately to develop and deliver easy-to-use, efficient oncology solutions for cancer diagnosis and treatment.They are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what’s possible, to improve people’s lives around the world. They embrace a culture of inclusivity in which the power and potential of every individual can be unleashed. They spark ideas that lead to positive impact and continued success. If you want to be part of this important mission, we want to hear from you.
Your new role
Data Engineering: you acquire business knowledge, identify valuable data sources in various data warehouses, perform ETL processes, create and maintain data pipelines, extract meaningful insights with data modelling and programming languages such as SQL, Python, or R.
Data Analytics: You apply various statistical models in providing both descriptive and predictive insights. You present actionable insights using advanced data visualization techniques, and programming languages like Python. You transform processed data into polished presentation-ready visuals.
Data Science: you develop and maintain analytical models, evaluating technologies, optimizing algorithms, experimenting, validating and updating models for classification and prediction. You develop algorithms iteratively, building in the right level of quality and complexity to solve the business problem at hand.
Technology and Solution Development: You create sustainable and impactful solutions, transforming data to value. You design adequate web-based front ends, for complex dashboards and automated workflows. You code, debug, test, document, provide support and training.
Innovation: You are continuously identifying and shaping future topics and conducting benchmarking & trend scouting in the field of Science Information Technologies. You actively participate in conferences, internal data science tribes.
What you’ll need to succeed
You successfully completed studies in data science, mathematics, (business) computer science, statistics, or a comparable education of master level.
You have some professional experience in the areas of Business Analytics, Big Data and ideally in procurement or supply chain management.
You have knowledge and experience in databases, data cloud, data mining, data analytics, and artificial intelligence (ML, NLP, Conversational Platform, LLM, GenerativeAI) and strong experience in SQL, and Python, Azure, HTML programming.
You have a general understanding CI/CD concepts, DevOps, AI/ML/LLM frameworks and libraries. Experience in Snowflake, Github and Azure Databricks is an advantage for the position.
You can rely on your solid understanding of machine learning algorithms, statistical modeling techniques, data mining concepts, and API integration.
You acquired proficiency in data preprocessing, feature selection, dimensionality reduction, and feature engineering techniques.
You have an excellent understanding of computer science fundamentals, data structures, and algorithms. Knowledge in IT Software Development is a plus.
What you’ll get in return
Competitive salary
Annual bonus
Cafeteria
Healthcare
Flexible home office policy
What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
