
▷ Only 24h Left: Senior Data Scientist
1 week ago
Job Description
Responsibilities:
- A working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:
- Proficient in SQL, python, and advanced excel
- Proficient in developing ML algorithms and models at a very large scale in an industry environment
- Proficient in a range of data science algorithms (Machine Learning, Deep Learning, Reinforcement Learning, etc.). Specialisation in one field is also welcomed.
- Working experience in the MLOps process and AI governance with cloud platforms: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)
Preferred:
- Working experience of the model lifecycle in at least 2 out of the following areas of expertise from clinical, operations, financial, fraud, digital, sales and marketing, wellness, or any relevant dataset in healthcare
- Working experience in health outcome indices and metrics and measures
- Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
- Knowledge of clinical tools including coders, groupers, and classifications is advantageous
- Knowledge of data science in the healthcare space is advantageous
- Knowledge of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.) is advantageous
Qualifications
- Degree in either Data Science, Statistics, Applied Mathematics or Computer Science
- Masters degree plus >6 years of relevant data science experience required or bachelors plus > 8 years of relevant experience
- > 1 years of mentoring and guiding data scientist experience preferred
- Experience in healthcare data science is preferred
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