Data Science Lead
2 weeks ago
About the Role
We are seeking a highly skilled Data Science Lead to join our team at THRIVEFORCE PRIVATE LIMITED. As a key member of our data science team, you will play a critical role in driving business growth through data-driven insights and predictive modeling.
Key Responsibilities:
- Design and develop predictive models, machine learning algorithms, and statistical analyses to solve complex problems in healthcare data analysis and modeling.
- Evaluate the performance of AI/ML models using relevant metrics, ensuring they meet industry-specific requirements.
- Participate in the full lifecycle of AI projects, from ideation and model development to implementation, validation, and deployment.
- Create informative and visually appealing data visualizations and reports to communicate complex insights to stakeholders.
- Identify opportunities for innovation and improvement in analytics and data-driven decision-making.
- Communicate complex computer vision concepts and project outcomes to a diverse audience, including technical and non-technical stakeholders.
Qualifications and Skills:
- Ph.D. in computer vision, machine learning, computer science, clinical machine learning, or a related field, or equivalent practical experience.
- Proven 6 years of professional experience as a Data Scientist with a significant focus on healthcare data analysis and modeling.
- Proven expertise in developing models for diverse computer vision tasks, including segmentation, recognition, classification, and domain adaptation.
- Exceptional programming skills in Python, with the ability to process TB-scale image datasets using Linux/Bash.
- Proficiency in utilizing modern deep learning frameworks such as PyTorch, JAX, Keras, etc.
- Extensive hands-on experience in working with biomedical imaging modalities.
- Strong familiarity with modern representation learning approaches like self-supervised learning, transfer learning, multimodal modeling, few-shot learning, and more.
- Excellent communication skills, with the ability to communicate technical concepts to non-technical healthcare stakeholders.
- Passion for creating a positive impact on the world.
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