DHP - Data Scientist

Key Skills

JavaScript, Java Programming, AngularJS, Python Programming, MongoDB, C++, Database, Node.js, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, Jupyter Notebook, PyTorch, TensorFlow, Apache Hive, MapReduce, Apache Pig, R Programming, Algorithms, SPARK Programming, Neural Networks, Data Engineering, VR/AR frameworks

Job Description

The DHP data scientist will interact with researchers, data architects and data engineers as well as with product and business experts to understand how the health and usage data flowing around DHP can be extracted, transformed, loaded within DHP, analyzed and presented.

Main Responsibilities

• Build, test and industrialize new scientific data models.
• Help identify and assess relevant Machine Learning and Data Science use-cases with the DHP engineering team.
• Develop and evaluate custom Machine Learning models and algorithms.
• Implement selected use-cases together with Software and Data Engineers, coordinate with the Product Owner and external stakeholders.
• Take decisions about suitable models and algorithms to use in order to implement new use-cases, how to evaluate them and present results to stakeholders.
• Read scientific papers and select methods suitable for a custom data set and project. Attend top conferences in the field and get involved with the scientific community.
• Develop prototypes from models to demonstrate working approaches.
• Use best practices in Data Science.
• Ensure compatibility or mapping with FHIR health standard.
• Tech watch regarding health-related data solutions.

Your Profile

Expected Skills and Experience

• At least 4 years’ experience in data Science & developing.
• Mastering following languages Python, R, Java, C/C++, AngularJS, JavaScript, NodeJS
• Machine learning expertise. Both on principles and tools (python scikit-learn, R, Spark MLLib, etc.)
• Knowledge of Jupyter Notebook and popular neural network frameworks (TensorFlow and/or PyTorch).
• Knowledge of the database management tools like Hadoop MapReduce, PIG, Hive, Spark, MongoDB, Elasticsearch, Scala, etc.
• Problem solving orientation to overcome performance and adaptability challenges (code optimization).
• Open to continuous improvement of Data Science skills.
• Experience training Machine Learning models on large data sets.
• Strong knowledge on data management.
• Reliability and accuracy of analyses as key factors.
• Experience with agile methodologies, such as Scrum, a plus.
• Ability to work in an international and cross functional organization.
• Team player, fruitful interactions with the other team members and external stakeholders.
• Good communication skills.

Languages:

• English and French.
• Be comfortable in a highly dynamic environment and promote change.
• IT Engineer (Master degree).