HiLabs is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• HiLabs

Location:

• Bangalore, Karnataka, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• Not explicitly provided

Years of experience:

• 0–3 years

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Company description

• HiLabs is a data-driven company focused on transforming the healthcare ecosystem.

• It builds AI-powered platforms that clean, refine, and utilize large datasets to solve major inefficiencies in the healthcare sector.

• With innovation at its core, HiLabs combines cutting-edge machine learning with deep healthcare expertise.

• The company employs professionals from world-renowned academic institutions such as Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, IIMs, and IITs.

• It works at the intersection of AI, big data, and healthcare delivery to create value-based systems.

• HiLabs fosters a collaborative environment of engineers, clinicians, and data scientists aiming to enhance patient care.

• Its mission is to unlock the power of dirty and complex healthcare data to improve clinical and operational outcomes.

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Profile overview

• This role is ideal for entry-level data scientists who are passionate about using AI to solve real-world challenges in healthcare.

• As part of a cross-functional team, the selected candidate will contribute to key AI initiatives, collaborating with stakeholders, engineers, and domain experts.

• The position involves hands-on development and deployment of AI/ML models that power HiLabs' core products.

• A strong inclination towards healthcare and problem-solving using data science is expected.

• Candidates will participate in improving and optimizing algorithms for use in production environments.

• Working knowledge of statistical techniques, ML theory, and data analysis practices is crucial.

• Exposure to end-to-end ML development, from data extraction to modeling and evaluation, is an integral part of this role.

• Effective communication, both technical and non-technical, is a valued skill for explaining models and insights.

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Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields from a reputed institution.

• Proficiency in at least one programming language, preferably Scala or Python.

• Familiarity with machine learning models including classification, regression, clustering, and recommendation systems.

• Understanding of data structures, algorithms, and database querying tools like MySQL.

• Exposure to big data tools such as Apache Spark and Airflow.

• Comfort with deep learning frameworks like TensorFlow, PyTorch, or Keras.

• Strong understanding of optimization techniques, loss functions, regularization, and A/B testing methodology.

• Experience working on academic or industry projects in AI or machine learning is a plus.

• Clear articulation of thought process and ability to present complex ideas in a simplified manner.

• Demonstrated ability to learn new frameworks, work independently, and contribute to team goals.

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Additional info

• The selected candidate will work in an innovative and intellectually stimulating environment alongside experts from healthcare and data domains.

• Role includes a mix of software development, data engineering, and ML model creation.

• Team members are encouraged to explore new research, integrate modern algorithms, and contribute to product evolution.

• Employees will benefit from structured mentorship and knowledge-sharing across diverse subject areas.

• Full-time onsite role based in Bangalore, with an expectation of flexibility and dedication.

• The organization offers long-term incentives including ESOPs, medical benefits, and opportunities for international exposure.

• Training and development support are provided for professional certifications or skill enhancement.

• HiLabs is committed to diversity, inclusion, and creating equitable career paths for every employee.

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Responsibilities

• Design, build, and optimize ML models to tackle challenges in healthcare data systems.

• Implement scalable AI algorithms tailored to HiLabs’ suite of products.

• Conduct exploratory data analysis to understand raw inputs and derive relevant features.

• Translate business problems into well-defined machine learning objectives.

• Collaborate with product managers to ensure alignment between solutions and user needs.

• Work with engineering teams to integrate ML models into existing infrastructure.

• Continuously iterate on models using A/B testing, user feedback, and real-world performance metrics.

• Research and experiment with recent ML advancements to enhance model efficiency and accuracy.

• Analyze data patterns and anomalies to improve current solutions or develop new ones.

• Help in documenting technical approaches and model behavior for internal and external stakeholders.

• Present findings and explain ML model decisions to both technical and non-technical audiences.

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Preferred qualifications

• Experience with deep learning libraries like MxNet, Keras, TensorFlow, or PyTorch.

• Prior exposure to tools like Apache Solr or ELK Stack for text search and mining.

• Comfort with interpretability techniques and responsible AI principles.

• Background in anomaly detection, text summarization, or entity extraction is highly valued.

• Hands-on work in developing pipelines using Snorkel or other data labeling tools.

• Familiarity with production-level code and CI/CD practices in data science projects.

• Knowledge of U.S. healthcare systems, claims data, or electronic health records is an advantage.

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Team culture

• The team values open communication, curiosity, and continuous learning.

• Collaboration between data scientists and healthcare professionals is deeply embedded in the work process.

• Performance is driven by innovation, accountability, and measurable impact on patient outcomes.

• Senior professionals are accessible and involved in guiding junior members.

• A flat structure allows ideas to be shared freely and contributions to be recognized quickly.

• New hires are onboarded with a clear learning roadmap and are encouraged to take ownership of their work.

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Compensation & benefits

• Industry-standard salary for entry-level roles, with performance-based bonuses.

• ESOPs to provide long-term wealth-building opportunities.

• Comprehensive healthcare benefits for employees and dependents.

• Financial sponsorship for learning programs, courses, and certifications.

• PTO, sick leaves, and flexible working policies in accordance with team needs.

• Access to mentorship from experienced leaders across AI and healthcare.

• Opportunity for H1B sponsorship for relevant candidates in the future.

• Team events, knowledge-sharing sessions, and professional meetups.

Please click here to apply.