Data Scientist
2 weeks ago
**A) Professional Qualifications**:
- Bachelors of Computer Science/Data Management a must.
- Post graduate studies in Data Analytics or Artificial Intelligence related fields highly desired.
- Medical Billing/Coding Experience/Certifications exposure preferred.
- Any additional professional certifications in line with the role will be an added advantage.
**B] Technical Knowledge & Experience**:
- 5+ years of work experience in healthcare big data projects, out of which 2 years in a senior level role is a must.
- Experience or exposure to Healthcare Medical Billing Claims Management is preferred and must be conversant with the following concepts:
Natural Language Processing, Machine learning, Conceptual modelling, Statistical analysis, Predictive modelling, Hypothesis testing. -experience working on building an AI Conversation Voice Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and Speech to Text Conversion. - ANN, CNN, RNN, deep learning Preferably in Digital Health startup to solve the specific complex problem.
- Experience in hospital operations and a general understanding of revenue cycle with an emphasis on billing, coding and charge capture desirable.
- Familiarity with Rule Edits or Business Rules Management Systems technologies and tools is an advantage.
- Knowledge of medical terminology, CPT, HCPCS, ICD-9/10, CDM and contract management. Medical Coding certifications is an added advantage.
- Needs to have statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.
- Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.
- Good knowledge & experience in Artificial Neural Network (ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.
Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, Pytorch.
Principal Contacts:
Internal: Business Rules Management, Data Insights & Solution Delivery Teams as well as business development function.
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