Data Science Lead

2 weeks ago


Navi Mumbai, Maharashtra, India THRIVEFORCE PRIVATE LIMITED Full time

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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