Senior Data Scientist

4 weeks ago

Mumbai, Maharashtra, India THRIVEFORCE PRIVATE LIMITED Full time
Job Title: Senior Data Scientist

Job Summary:

We are seeking a highly skilled Senior Data Scientist to join our team at Thriveforce Private Limited. As a key member of our analytics team, you will be responsible for designing and developing predictive models, machine learning algorithms, and statistical analyses to solve complex problems in healthcare data analysis and 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/Computer Vision models/algorithms 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.
  • 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.
  • Provide mentorship and guidance to junior AI scientists and data scientists.

Qualifications and Skills:

  • Ph.D. in computer vision, machine learning, computer science, clinical machine learning, or a related field, or equivalent practical experience.
  • 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, multi-modal 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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