Position: Healthcare data scientist
Category: Data Science
English level: upper
Years of experience: 2.5

Medical and math knowledge.
Analyze current health-related business processes
Understand business and functional requirements
Identify opportunities for improvements
Make research, extract, analyze, and interpret healthcare data to address business questions (optimization of operations, costs and reduce risks)
Provide medical expertise and support the machine learning department in building and maintaining a comprehensive enterprise architecture program
Participating in pre-sales as medical expert
Working closely with doctors from a client side, analysts, data scientists, product managers and engineers
Implementing and updating predictive models in the healthcare
• Understanding medical data first-hand and how it can support developing valid clinical insights
• Extensive data cleaning and preparation for downstream analysis
• Exploratory data analysis and statistical analysis
• Identifying data anomalies
• Designing, carrying out, and interpreting medical studies and cases to address specific clinical questions
• Building predictive and optimization models and applying machine learning in a production environment, using techniques from classic algos linear regression, logistic regression. decision tree SVM, naive bayes, kNN, K-Means, random forest, gradient boosting algorithms, classic time-series, ARIMA, SARIMA, VARMAX