Position summary

As an experienced Data Scientist you’ll join a team of data scientists, analysts, and software engineers

working to push the boundaries of data science in health care. We like to experiment, iterate, and

innovate with technology, from developing new algorithms specific to health care’s challenges, to

bringing the latest machine learning practices and applications developed in other industries into the

health care world. We know that algorithms are only valuable when powered by the right data, so we

focus on fully understanding the problems we need to solve, and truly understanding the data behind

them before launching into solutions – ensuring that the solutions we do land on are impactful and

powerful

Essential Functions

• Research, conceptualize, and implement analytical approaches and predictive modeling to
  

evaluate scenarios, predict utilization and clinical outcomes, and recommend actions to impact

results.

• Manage and execute on the entire model development process, including scope definition,
  

hypothesis formation, data cleaning and preparation, feature selection, model implementation

in production, validation and iteration, using multiple data sources.

• Provide guidance on necessary data and software infrastructure capabilities to deliver a scalable
  

solution across partners and support the implementation of the team’s algorithms and models

• Contribute to the development and publication in major journals, conferences showcasing
  

leadership in healthcare data science.

• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT teams and
  

Business stakeholders spread out across various locations in US and India to achieve business

goals

• Provide guidance to other Data Scientist and Machine Learning Engineers Skills:- Data Science, R Programming, Python, Amazon Web Services (AWS), Windows Azure, Google Cloud Platform (GCP), Machine Learning (ML) and Natural Language Processing (NLP)