
Advanced Analytics Expert
6 days ago
We are seeking a highly motivated Data Scientist to support advanced analytics initiatives across the organization.
The ideal candidate will be responsible for managing end-to-end analytics projects, including data wrangling, model development, validation, and deployment. They will also collaborate with scientific and operational teams to identify opportunities for data science applications in drug discovery, development, and manufacturing.
The selected candidate will interact with domain experts and clients to understand data, business challenges, and implement robust, scalable solutions. Additionally, they will design and implement machine learning models, statistical analyses, and data visualizations to solve real-world problems.
Responsibilities include developing predictive models for reaction outcomes, process optimization, and quality control. The candidate will work with structured and unstructured data from lab equipment's, sensors, and other scientific instruments as well as enterprise applications (CRM, ERP, etc.). Furthermore, they will build and maintain data pipelines and dashboards for real-time monitoring and reporting.
Implementing AI workflows for enhancing decision-making processes is also a key responsibility of this role.
Required Skills and 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.
- 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.
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