Description
Develop custom data models and algorithms to apply to healthcare data sets.
Use predictive modeling to develop classification models that predict the incidence of fraud, waste,
and abuse in the healthcare domain.
Collect and merge data from varied data sources.
Perform exploratory data analysis to drive broad conclusions based on initial hypothesis
Create meaningful data visualizations to communicate findings
Work closely with businesses to identify issues and propose solutions for effective decision-making
Test models to select the most appropriate ones
Confidential
Required Skills:
1-2 years of work experience in data science.
Proven experience as an NLP expert or similar role Experience in using Attention Models,
Transformers, and other SOTA techniques.
Understanding of various Text Representation Techniques
Experience in Machine Learning, Data Analysis, Feature Engineering, Modeling, Model Performance
& Accuracy Testing
Understanding of various Text Representation Techniques
Hands-on experience in TensorFlow, Python, Keras, and similar packages
Knowledge of statistical concepts such as regression, time series, Bayesian, clustering, etc.
Proficient in using Open-Source Technologies to create various Data Models
Experience in the healthcare domain will be a big plus
Degree in Mathematics, Statistics, Computational Linguistics, or Computer Engineering
Reporting tool experience Tableau
Qualification:
ME/ M.Tech./ MS (Engg/ Sciences) or BE/ B.Tech (Engineering)
Good to have a relevant Technical Certification
Role: Data Scientist
Industry Type: Medical Services / Hospital
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
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