Careers at HiLabs

Be a part of a team that harnesses advanced AI, ML, and big data technologies to develop innovative, cutting-edge healthcare technology platform.
Job Title: Principal Data Scientist
Job Location: Offshore - Pune/Bangalore (India), Onsite - Bethesda, Maryland, US
Job summary:

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 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 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
  • Should be able to contribute to Applied ML research projects
  • Should be an end-to-end ML problem solver
  • Should have good understanding of the business needs of the project
  • 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
  • Independently own and lead a product segment or area of research in Data Science divisions
  • Take ownership of product completeness and deliveries
  • Takes initiatives in innovation and research areas of product development


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
  • 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 maths 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, 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

Company Profile

HiLabs Inc. is focused on eliminating the $3.1T that bad data costs the United States every year. HiLabs is combining cutting-edge, explainable AI with healthcare-specific business ontologies to vastly improve data quality for its customers. This unique and valuable approach has earned HiLabs business with the Centers for Medicare & Medicaid Services (CMS) and three of the five largest US health plans. HiLabs approach has also led to rapid 300% year over year revenue growth. HiLabs core platform, MCheck has performed analysis on over 15 billion records, covering over one-third of the US insured population. HiLabs is headquartered in the Washington, DC Metropolitan Area with a thriving R&D center in Pune, India. HiLabs India Private Limited is a subsidiary of HiLabs Inc. HiLabs team includes healthcare experts with decades of experience, technologists, data scientists, AI/ML engineers, and solutions architects from the world's top universities, business schools, and engineering institutes such as Yale, Harvard, Duke, Georgia Tech, and several IITs.

Why join us

Besides our competitive salary and benefits package, attractive performance bonuses, and Employee Stock Options Plan, there are myriad reasons why you should work with us.

Hilabs Benefits

Competitive base salary, attractive performance bonus/accelerator incentive policies, comprehensive benefits package that includes employee stock options and financial contribution for your ongoing professional and personal development medical coverage for you and your loved ones, 401k, PTOs, smart mentorship, and an excellent collaborative environment of highly qualified, multidisciplinary professionals from the world's top medical schools, business schools, and engineering institutes

India Benefits:
  • Mediclaim and accidental insurance
  • Trainings and workshops to support continuous learning
  • Considerate leave policy and paid holidays to help achieve a better work-life

US Benefits:
  • 401K Plan
  • Medical benefits
  • Paid Time Off to help achieve a better work-life balance
Thank you for reviewing this opportunity with HiLabs! If this position appears to be a good fit for your skillset, we welcome your application.