Job Details:

Work with various data science, ML, AI, imaging, bioinformatics, real-world evidence, and other research teams to build modern data-driven enterprise-ready solutions. Interface with business partners to lead architecture and development of enterprise cloud-based data solutions and pipelines that feed into data science solutions. Work with the data engineering, data science and data ownership teams to collect relevant data elements and implement data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity. Work closely with various stakeholders to provide end-to-end support in data ETL and consumption. Actively participate in cross-functional teams to develop AI and ML solutions. Collaborate with Data Scientists, engineers and/or scientists from other disciplines to build robust and sustainable enterprise data solutions that deliver AI/ML models. Collaborate with data scientists to design, code, train, test, deploy data models and pipelines that feed machine learning systems.

Must possess a Master’s degree or foreign equivalent in Computer Science or a related field and minimum one year of experience as a Machine Learning Engineer. Experience must include: ensuring the quality of the data in coordination with data analysts, data scientists and business partners (peer validation); building and operationalizing complex data solutions, correcting problems, applying transformations, and recommending data cleansing/quality solutions; working with scripting languages (Python, R, Scala) and visualization tools (PowerBI, Tableau); and the following statistics/machine learning tools: NLP, RNNs, LSTM, VAEs, GANs, Transformer, BERT, XLNet, Clustering, Statistical Analysis, Time Series Analysis, Recommender Systems, Anomaly Detection, Reinforcement Learning, Optimization Algorithms (e.g., Gradient Descent, Adam, SGD), Ensemble Techniques (e.g., Bagging, Boosting, Stacking).

How to Apply:

Email resume to Novo Nordisk Research & Development US, Inc. at same@novonordisk.com, Ref# SEMA4157