Data Scientist

We are looking for a skilled and analytical Data Scientist to join our onsite team in Mohali. This role requires proven experience in applying data science and machine learning techniques to solve real-world problems, with a strong emphasis on medical imaging, predictive modeling, and unstructured data processing. The ideal candidate will work on developing intelligent AI-driven systems by analyzing complex datasets, building scalable models, and generating actionable insights to support critical decision-making across domains like healthcare, aviation, fintech and enterprise operations.

Responsibilities:

Data Analysis & Feature Engineering: Collect, clean, and transform structured and unstructured datasets. Perform feature engineering and exploratory data analysis to derive meaningful insights.

Model Development: Build and deploy machine learning models for classification, regression, clustering, and anomaly detection using libraries such as scikit-learn, PyTorch, and TensorFlow.

Medical Imaging: Apply computer vision and deep learning methods for processing DICOM and NIfTI imaging data, using tools like MONAI, TotalSegmentator, and nnU-Net.

NLP & Unstructured Data: Implement natural language processing techniques for extracting insights from clinical texts, EMRs, and other unstructured data sources.

Data Visualization: Communicate results through dashboards and visualizations using tools such as Tableau, Plotly, or Power BI.

AI Integration: Collaborate with engineering and product teams to integrate AI modules into full-stack applications and real-time systems.

Experimentation: Design, run, and analyze A/B tests and other experimental frameworks to evaluate model and product effectiveness.

Model Monitoring: Monitor model performance post-deployment, retrain models when needed, and maintain ML pipelines using versioning and tracking tools like MLflow or DVC.

Solution Design: Propose data-driven strategies and solutions to business challenges through quantitative modeling and forecasting.

Continuous Learning: Stay updated with the latest trends in AI, machine learning, and data science, and apply new techniques to production workflows.

Medical Imaging Knowledge: Experience working with medical datasets (CT, MRI, X-ray), understanding of imaging formats (DICOM/ NIfTI), nanonet and use of medical imaging libraries. (Optional skill)

Experience : 2-5 years (data science or ML engineering role)
Qualification : Bachelor's or Master's degree in Computer Science

Interested candidates apply now: