Lead Data Scientist

Job summary:

We are a leading Software as a Service (SaaS) company that specializes in the transformation of data in the US healthcare industry through cutting-edge Artificial Intelligence (AI) solutions. We are seeking a Lead Data Scientist. As a Lead Data Scientist at HiLabs, you will partner closely with a team of stakeholders, product managers, and data engineers to solve real problems in the 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:
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 / Machine Learning solutions.
Conduct quantitative data analysis using a variety of datasets.
Increase 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.
Should be able to contribute to Applied ML research projects.
Leverage recent advances in machine learning technologies and oversee the team’s training.
Lead a team of Data Scientists, developers, as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.
Desired Profile:
Bachelor’s Degree/master’s degree in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college (IIT
- Delhi, Bombay, Madras, Kanpur, Kharagpur, Roorkee, Guwahati, Varanasi)
Have 5 - 7 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 general best practices of Machine Learning.
Able to understand 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, and numerical optimization.
Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experience 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 the healthcare domain as technical problems that allow 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 the ability to work both independently and with a team