Machine Learning Expert

2 weeks ago


Aurangabad, Maharashtra, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Data Scientist

We are seeking a highly motivated individual to support advanced analytics initiatives across the organization.

As a data scientist, you will be part of a growing digital transformation journey in a science-driven environment.

Key Responsibilities:
  • Manage end-to-end analytics projects including data wrangling, model development, validation, and deployment.
  • Collaborate with scientific and operational teams to identify opportunities for data science applications in drug discovery, development, and manufacturing.
  • Interact with domain experts and clients to understand data, business challenges, and implement robust, scalable solutions.
  • Design and implement machine learning models, statistical analyses, and data visualizations to solve real-world problems.
  • Develop predictive models for reaction outcomes, process optimization, and quality control.
  • Work with structured and unstructured data from lab equipment's, sensors, and other scientific instruments. And also, from enterprise applications (CRM, ERP, etc.)
  • Build and maintain data pipelines and dashboards for real-time monitoring and reporting.
  • Implement AI workflows for enhancing decision-making processes.
Requirements:
  • Education: MS/MTech in Mathematics, Statistics, Computer Science.
  • Experience: 3+ years in data science or advanced analytics.
  • Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Familiarity with cheminformatics or bioinformatics tools (e.g., RDKit, KNIME) is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Benefits:

You will have the opportunity to work on impactful projects across accelerate drug discovery and development.

Collaborate with world-class scientists and technologists, and enjoy a culture of innovation, learning, and continuous improvement.



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