HiLabs Inc. jobs - Data Scientist

The Role

If Sklearn, pyTorch, Keras,TensorFlow, LSTM, LDA, anomaly detection, entity extraction, summarization mean something to you, we want to talk to you. You are not required to have skills in all of these but should have hands-on skill in at least one area and the ability to dive deep in the data, and learn the necessary skills to get the job done.

The candidate will work with our fortune 50 customers, leveraging one of the largest repositories of healthcare data to improve healthcare for 40M patients in the US.

The candidate will be part of an AI/ML staff and Data Scientists in the following tasks:

• Leveraging AI/ML techniques and solutions to identify complex patterns for predicting safety hazards
• Increasing the efficiency and quality of the vulnerability discovery process by tightly integrating automated processes, AI/ML techniques and human SME/analyst expertise
• Develop and prototype AI algorithms and software tools.
• Enhance and maintain current analysis tools, including automation of current processes using AI/ML algorithms.
• Conduct quantitative data analysis using a variety of datasets, including developing retrieval, processing, fusion, analysis, and visualization of various datasets
• Develop techniques that make use of both digital flight data, text-based safety reporting, and a variety of other aviation data sets both in a silo and in a fused environment to identify potential safety vulnerabilities

Basic Qualifications:

• Bachelor’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from an IIT (Kanpur, KGP, Bombay, Delhi, Roorkee, Guwahati, BHU) or BITS Pilani
• Hands-on Software Development Skills (Scala-Preferred)
• Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
• Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies
• Excellent Communication Skills (with the abilty to explain developed tools and ML algorithms to a non-technical audience)
• Ability to formulate operational problems in aviation 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 analytic, inferencing, critical thinking, and creative problem-solving skills
• Self-starter with ability to work both independently and with a team

Preferred Qualifications:

• 1 to 2 years of relevant experience
• 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 lifecycle including developing and maintain good production quality code