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

HiLabs is a trailblazer in developing AI-powered solutions for transforming healthcare data quality and improving patient outcomes.
Specializes in cleaning and optimizing messy datasets to unlock hidden potential, driving efficiencies in healthcare transformation.
A culture built on innovation, collaboration, and a relentless pursuit of excellence in the healthcare domain.
Team comprises:
- Multidisciplinary leaders in AI/ML, healthcare, and data science.
- Alumni from globally renowned institutions like Harvard, Yale, Carnegie Mellon, Georgia Tech, IITs, and IIMs.

Utilize advanced AI/ML techniques to identify and address complex healthcare challenges.
Develop, deploy, and optimize machine learning solutions for massive datasets using big data technologies.
Prototype AI algorithms and create software tools to enhance healthcare solutions.
Improve and scale existing machine learning and deep learning solutions.

Conduct quantitative analysis across diverse datasets to derive meaningful insights.
Collaborate with stakeholders to extract required data and provide insights aligned with business needs.
Build and deploy additional functionalities tailored to client requirements.

Lead teams of Data Scientists, developers, and clinicians to strategize AI-based solutions for healthcare problems.
Train and mentor teams on the latest advancements in machine learning technologies.

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, or related fields.
Preference for candidates from Tier-1 institutions.

Proficiency in software development (Scala preferred).
Hands-on experience or academic exposure to machine learning and text mining algorithms.
Strong foundation in statistical techniques, linear algebra, and numerical optimization.
In-depth understanding of ML theory, including bias-variance tradeoff, regularization, and loss functions.

Familiarity with A/B testing and machine learning best practices.
Ability to communicate technical concepts effectively to non-technical audiences.
Proven capability to frame operational problems in healthcare as technical challenges solvable through advanced research.
Ability to independently learn and adopt new technologies and tools.
Strong analytical and problem-solving skills.

Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
Expertise in interpretability of deep learning models.
Hands-on knowledge of big data platforms such as Hadoop and Spark.
Familiarity with text mining techniques, including entity extraction, summarization, and anomaly detection.
Exceptional software development skills for maintaining production-quality code.

HiLabs Total Rewards:
- Competitive salary aligned with industry standards.
- Accelerated incentive policies to reward exceptional performance.
- Comprehensive benefits package, including ESOPs.
- H1B sponsorship for eligible candidates.
- Financial support for professional development and certifications.
- Medical coverage for employees and their families.
- 401k plans and paid time off (PTO).
- Collaborative work environment with smart mentorship opportunities.
- Work alongside professionals from prestigious institutions and diverse expertise areas.
Opportunities for Growth:
- Work in a rapidly growing company with a strong trajectory.
- Contribute to impactful projects driving innovation in healthcare.
- Access cutting-edge technologies and tools to hone your technical expertise.
Work Culture:
- A dynamic and inclusive workplace that values creativity and innovation.
- Continuous learning environment with opportunities to engage with multidisciplinary experts.
- Encourages proactive problem-solving and fosters team collaboration.