Bachelor’s Degree/master’s degree in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college.
Have 7 – 10+ years of experience in analyzing large volumes of data and building predictive models.
Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing.
Have an excellent academic background with strong Hands-on Knowledge of Python OR Scala.
Hands-on Software Development Skills (Scala-Preferred).
Understands the core concepts of Machine Learning and the math behind it.
Have good knowledge of existing ML tools and technologies.
Know all the best general practices of Machine Learning
Able to understands the internals of popular ML tools and as per the need able to modify existing popular tools and algorithms as per the need.
Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
Knowledge of statistical techniques, linear algebra, numerical optimization
Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.
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, systems.
Strong analytical, inferential, critical thinking, and creative problem-solving skills
Self-starter with ability to work both independently and with a team.
