HiLabs (www.hilabs.com) is a health data analytics company with product offering to healthcare payers and providers in the United States of America. Its clients range from fortune 50 companies to government entities. The company has a strong VC backing, excellent management team from best Business schools and brilliant data engineers from top engineering colleges of the world.
As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain.
HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions
Leveraging AI/ML techniques and solutions to Identify and mathematically interpret complex healthcare problems
Deploy and optimize machine learning solutions on massive datasets using big data technologies.
Develop and prototype AI algorithms and software tools.
Implement enhancements to existing algorithmic/ deep learning solutions.
Conduct quantitative data analysis using a variety of datasets
Increase the efficiency and improve the quality of solutions offered
Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements
Leverage recent advances in machine learning technologies and oversee the team’s training
Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.
Bachelor’s Degree/Master’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college
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, 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
Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.
Experience with interpretability of deep learning models
Big Data Skills (Hadoop, Spark, 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 good production quality code