Image-HasTech

Data Scientist

HiLabs
  • Pune
Salary: NA

Description

About HiLabs HiLabs is a fast-growing healthcare AI company with 300%+ growth since 2021, backed by a $39M Series B and recognized by platforms like JAMA, KLAS, and Inc. 5000. Our global team from top institutions is driven by innovation, ownership, and the mission to solve meaningful healthcare problems that impact millions of lives. Job Summary HiLabs is seeking a skilled Data Scientist to work on high-impact AI and Machine Learning solutions in the healthcare domain. This role involves solving complex, large-scale healthcare problems using data, statistics, and advanced ML techniques. You will collaborate closely with healthcare domain experts and engineering teams to build, optimize, and deploy production-ready analytics and ML solutions that drive real-world impact. Key Responsibilities Apply AI/ML techniques to identify, model, and solve complex healthcare and operational problems Design, develop, and deploy scalable machine learning solutions on large and diverse datasets Develop and prototype AI algorithms and software tools for healthcare analytics Enhance and optimize existing ML models and algorithmic solutions Perform quantitative data analysis using structured and unstructured healthcare datasets Improve solution efficiency, accuracy, and overall quality Translate business and healthcare use cases into data-driven insights for stakeholders Extract and integrate data from multiple sources to support analytics and decision-making Stay updated with recent advancements in machine learning and guide model training practices Collaborate with cross-functional teams including engineering, product, and domain experts Required Qualifications Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Electrical/Computer Engineering, or related fields 1–3 years of hands-on experience in data analysis and predictive modeling Strong understanding of core Machine Learning concepts and underlying mathematics Hands-on experience with ML techniques such as: Classification, Regression Clustering & Outlier Detection Hypothesis Testing and A/B Testing Proficiency in Python or Scala (Scala preferred) Solid knowledge of statistical analysis, linear algebra, and numerical optimization Experience with big data processing and large-scale datasets Understanding of ML theory including bias-variance tradeoff, regularization, and loss functions Familiarity with ML tools, frameworks, and best practices Exposure to Text Mining / NLP algorithms is an advantage Key Skills & Competencies Predictive Modeling & Model Optimization Machine Learning Algorithms & Theory Statistical Analysis & Experimentation Big Data Analytics Healthcare Analytics (preferred) Python / Scala Programming A/B Testing & Hypothesis Validation Problem-Solving & Critical Thinking Ability to explain ML concepts to non-technical stakeholders Strong communication and collaboration skills Self-starter with the ability to work independently and in teams Why Join HiLabs? HiLabs is transforming the future of healthcare data with its AI-powered Healthcare Operating System. Backed by strong funding and trusted by leading U.S. health plans, HiLabs offers a unique opportunity to work on mission-critical healthcare challenges at scale. What We Offer Competitive compensation and accelerated growth opportunities Employee Stock Options (ESOPs)* Comprehensive insurance coverage for you and your family* Pick-up & drop facility Complimentary meals and refreshments Learning & Development (L&D) programs Smart mentorship and career progression pathways

Role and Responsibilities

  • Key Responsibilities Apply AI/ML techniques to identify, model, and solve complex healthcare and operational problems Design, develop, and deploy scalable machine learning solutions on large and diverse datasets Develop and prototype AI algorithms and software tools for healthcare analytics Enhance and optimize existing ML models and algorithmic solutions Perform quantitative data analysis using structured and unstructured healthcare datasets Improve solution efficiency, accuracy, and overall quality Translate business and healthcare use cases into data-driven insights for stakeholders Extract and integrate data from multiple sources to support analytics and decision-making Stay updated with recent advancements in machine learning and guide model training practices Collaborate with cross-functional teams including engineering, product, and domain experts