
Senior Data Analyst Position
7 days ago
Role Overview:
We seek a highly motivated Data Scientist to support advanced analytics initiatives across the organization.
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
Required Skills & Qualifications:
- 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:
- Be part of a growing digital transformation journey in a science-driven organization.
- Work on impactful projects across accelerate drug discovery and development.
- Collaborate with world-class scientists and technologists.
- Enjoy a culture of innovation, learning, and continuous improvement.
Additional Information:
The ideal candidate will have a passion for working with complex data sets and driving insights through data visualization and storytelling.
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