Bachelor’s Degree/master's degree in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college

Have 3 - 5 years of experience in analyzing large volumes of data and building predictive models

Hands-on Software Development Skills (Scala preferred)

Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms

Knowledge of statistical techniques, linear algebra, and numerical optimization

Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing

Know all the general best practices of Machine Learning

Ability to work closely with domain experts to develop tools/algorithms needed to answer research questions in their studies

Excellent communication skills (with the ability to explain developed tools and ML algorithms to a non-technical audience)

Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area

Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems

Strong analytical, inferential, critical thinking, and creative problem-solving skills

Self-starter with ability to work both independently and with a team

Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.

Experience with interpretability of deep learning models

Big Data Skills (Hadoop, Spark, and recent deep learning platforms)

Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection

Expert software development skills including developing and maintaining production quality code