Principal Data Scientist - Healthcare

We are setting up GIC @ Bengaluru (from scratch) for a USA headquartered company (listed on Nasdaq) that is transforming healthcare by empowering community-based physicians with the resources and expertise they need to innovate the payment and delivery of care.

As a key member of our client's Technology Group, step into a key role in building and expanding our Data Science and ML engineering teams. This is a ground up opportunity to help define, develop and implement our ML strategy to solve some of the hardest problems in healthcare space using machine learning. (This is the leadership role though only 5-10% people management.)

- You will own the full end to end ML development lifecycle from engaging with senior leadership in the company and customers to identify impactful ML opportunities, to defining and implementing ML development workflows from data acquisition, model development, training and deployment/operationalizing the models on cloud based ML platforms.

- If you are excited about using ML to have a meaningful impact on doctors and patients, have deep sense of ownership with your software and strong track record of model development, evaluation and deployment in cloud environment, lets chat more!

Job Functions:

- As a leader in Data science organization, lead multiple scrum teams to deliver innovative ML solutions in healthcare space

- Keep up to date, latest developments in ML space and incorporate these in our best practices

- Help define the data science development workflows from coding and architecture best practices, data strategy, to ML training and Inference platforms

- Work closely with internal and external stakeholders, both technical and non-technical and help translate deep ML knowledge to stakeholders.

- Work closely with ML engineering/Infrastructure team to help define the vision of ML training and ML inference platforms running on Cloud

- Mentor and grow Junior data scientists in the team on both DS modeling and software engineering skills

Qualifications:

- Advanced degree (PHD, MS) in relevant field

- Healthcare domain experience highly preferred.

- 10+ years of experience in building, training and deployment of models

- Strong experience with ML frameworks such as TensorFlow, Keras, PyTorch etc

- Strong proficiency in Python

- Strong experience in both classical ML modeling approaches and Deep learning based model approaches

- Deep NLP knowledge and AWS experience preferred

- Experience collaborating with cross functional teams and stakeholders to evaluate new ML opportunities