Innovative Data Scientist Role

2 days ago

Dindigul, Tamil Nadu, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
Job Title

Data Scientist

We are seeking a highly skilled Data Scientist to join our innovative team. The successful candidate will be instrumental in building and enhancing AI-powered prediction models, integrating AI/ML methodologies, and fostering collaboration across interdisciplinary teams.Key Responsibilities
  • Platform Development: Develop and enhance AI-powered prediction models to predict and optimize chemical formulations, and collaborate with software engineers to integrate advanced computational models into the AI platform.
  • Data Analytics and Modeling: Analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities, and develop and validate statistical and machine learning models to improve prediction accuracy and reliability.
  • Optimization and Scalability: Improve the computational efficiency and scalability of existing models to handle diverse customer needs, drive efficient use of computational and cloud resources, minimizing redundancy and controlling operational expenses, and ensure all computational tools and methodologies comply with industry standards and best practices.
  • Cross-Functional Collaboration: Work closely with domain experts, software engineers, and project managers to ensure seamless integration of scientific methods into practical applications, communicate findings and recommendations effectively to technical and non-technical stakeholders, and collaborate with customers to understand their R&D challenges and aid in tailoring the platform to address specific use cases.
Requirements
  • Education: Bachelor's or Master's in Computer Science, Data Science, Cheminformatics, or Computational Chemistry, or equivalent experience.
  • Experience: 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.
  • Technical Skills: Proficiency in Python, R, or similar languages, hands-on experience with AI/ML tools like TensorFlow, PyTorch, or sci-kit-learn, expertise in cheminformatics data analysis and large-scale data handling.
  • Soft Skills: Strong problem-solving and critical-thinking abilities, excellent communication skills to convey complex ideas to varied audiences, team player with a collaborative mindset, efficient and flexible disposition, able to rapidly learn new fields and use data science and machine learning to improve decision-making and workflows.

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