Are you interested in becoming an integral part of a deep-tech multidisciplinary team solving some of the biggest problems facing our healthcare with global health impact?
If so, join us as a data engineer and work with a motivated team and be part of the development of a cutting-edge product across AI, IoT and healthcare. We’re looking for a highly-motivated person to explore and manage complex datasets.We offer competitive compensation packages, opportunities for advancement, and a great experience.
Build, test, improve, and deploy scalable data processes and tools
Derive Data insights and convert them into real solutions to help our clients
Understand and keep up-to-date with emerging technologies, trends, and innovative solutions being implemented across the industry
Implementing technical solutions using Data Science, Machine Learning, and AI techniques
Processing, data-wrangling, and verifying the integrity of data used for analysis
Degree in Computer Science
Practical experience in data science, machine learning or database administration
Experience building data products, ETL pipelines, and manipulating big datasets
Strong knowledge of Python/R
Knowledge of Data Science tools and their application.
Understanding of the relational database model and knowledge of SQL and Excel
Familiarity with the command line
Knowledge of APIs
Good scripting and programming skills (i.e., shell scripting)
Use of cloud technology such as GCP, AWS, Azure, etc.
Understanding of modeling structured and unstructured data
Practical experience in challenging and fast-paced environments
Knowledge of statistical techniques, machine learning algorithms, and data science problem framing
Curiato is a leading digital health company that is developing a continuous smart cover monitoring platform for healthcare facilities.