Lead Data Scientist

HiLabs is a healthcare technology company focused on solving one of the biggest problems in the US healthcare system, poor data quality. Dirty data costs the industry over 300 billion dollars every year. HiLabs addresses this challenge at scale using explainable AI.

Our core platform, MCheck™, has analyzed over 15 billion healthcare records, covering more than one third of the US insured population. HiLabs is headquartered in the Washington DC metropolitan area, with strong R&D centers in Pune and Bangalore.
Join a team that uses advanced AI, machine learning, and big data technologies to build impactful healthcare platforms with real-world outcomes.

Role Summary
We are looking for a  Sr. Lead Data Scientist or Lead Data Scientist  to solve complex healthcare data problems using applied machine learning and strong mathematical foundations.
In this role, you will work closely with product managers, data engineers, and clinicians to design, build, and deploy scalable ML solutions. You will also mentor data scientists and influence the technical direction of our AI platforms.
This is a  hands-on leadership role , not a pure people management position.

Key Responsibilities
Apply AI and ML techniques to interpret and solve complex healthcare problems.
Build, deploy, and optimize ML models on large-scale datasets.
Own solutions end to end, from problem formulation to production.
Develop and enhance ML algorithms, tools, and platforms.
Perform quantitative data analysis across structured and unstructured datasets.
Collaborate with product, engineering, and domain experts to deliver business impact.
Contribute to applied machine learning research initiatives.
Mentor and guide data scientists while maintaining high technical standards.

Desired Profile
Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Physics, or related fields from a Tier 1 institute.
5 to 7 years of experience building predictive models on large datasets.
Strong hands-on experience with  Python or Scala .
Solid understanding of machine learning fundamentals and underlying mathematics.

Experience with analytics techniques such as classification, regression, clustering, and hypothesis testing.
Knowledge of statistics, linear algebra, numerical optimization, and A/B testing.
Familiarity with ML best practices, tooling, and model evaluation techniques.
Ability to explain ML concepts clearly to non-technical stakeholders.
Strong problem-solving mindset with ownership and independence.

Benefits at Hi Labs
Competitive base salary.
Comprehensive medical coverage for you and your family.
Cab facility for office commute.
Office meals including lunch, dinner, and snacks.
Fast-track promotions and performance-based increments.
Opportunity to travel to the US and work with global clients.
Support for US B1 visa.
Smart mentorship and a highly collaborative work environment.
HiLabs is an equal opportunity employer and is committed to building a diverse and inclusive workplace.
If this role aligns with your skills and interests, we encourage you to apply and explore how you can make an impact with HiLabs.