Data Scientist I
Skills
Big DataData MiningData ScienceExploratory Data AnalysisHiveNumpyProduction Execution
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience in applying machine learning techniques in production environments.
- Strong expertise in Big Data analysis using tools like Scala/Spark and Python.
- Excellent reasoning and problem-solving skills.
- Effective communication and consulting skills catering to a range of stakeholders.
- Solid grounding in statistical analysis methods.
- In-depth knowledge of health insurance and managed care models.
- Experience in financial analysis within healthcare contexts.
Nice to have
- Scala
- Spark
- Python
- TensorFlow
- Keras
- Pandas
- Numpy
- Hive
- Impala
Day to day
- Apply knowledge and experience to real-world healthcare problems using AI and ML.
- Build production-level machine learning solutions that reduce healthcare costs and improve outcomes.
- Work with a vast array of data sources including claims and medical records to develop actionable insights.
- Collaborate closely with healthcare professionals to achieve aggressive goals and implement solutions.
- Continually update on the latest developments in machine learning and healthcare industry.
Hiring process
- Applications assessed on a rolling basis
- Virtual interviews for all candidates
