Data Scientist

HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes.

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.

Responsibilities:

• 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.
• 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, 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 production quality code

Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes.