• Applying data mining techniques
• Enhancing data collection procedures
• Good knowledge of machine learning: building high quality prediction systems, build recommendation systems, NLP
• Ability to build meaningful visualizations of results
• Programming skills — Python, R, SQL
• Good presentation/communication skills
• Good written and spoken English
• Good math skills
• Experience in Amazon SageMaker
• Big Data (Hadoop/Spark/Hive) and/or NoSQL (MongoDB/Cassandra) knowledge
• Experience with GB/TB/PB size datasets
• Experience working with BI/BA
• Linux knowledge, experience with ETL
• Java, Scala knowledge or other programming language
● New office with areas for recreation, well-staffed kitchen facilities, shower, covered bike-parking
● Compensation of medical service
● Sport compensation: gym-membership reimbursement, small gym on-site
● Language school with a native speaker
● Compensation of training: our employee can participate in training given by external and internal experts
● Paid business trips: daily and transportation expenses
Key responsibilities & project description:
• Define required data and methods to solve a given problem
• Perform exploratory analysis of datasets and communicate the results
• Answer questions by using appropriate statistical techniques on the available data sources
• Supervised machine learning: Classification of patients; forecasting of numeric values (e.g. length of treatment, number of staff needed on a shift)
• Time series analysis: Hospital management; forecasting the growth in a certain healthcare sector
• Natural language processing: disease prediction; forecast of disease complication; defining specific patient groups for research; improving quality and integrity of medical records; claims processing, feedback analysis
• Medical coding classification systems: analysis of patient records; billing operations and reimbursement; mortality and morbidity statistics.