Data Science Modeller
1 month ago
Location: Pune (WFO)
Experience: Min 4 yrs
Key Responsibilities:
- Develop and detail modelling requirements for projects in biopharma, API, and formulation processes.
- Provide data-driven and advanced modelling solutions using Python.
- Derive insights from time-series datasets, including patterns, deviations, and control limits.
- Apply advanced inferential statistical layers to test model performance using Python.
- Devise practical methods for implementing multivariate optimization and complex non-linear ML techniques.
- Create interactive visualizations and dashboards using Python.
- Deliver advanced analytics use cases for specialty chemicals, pharma, and life-sciences industries.
- Develop and execute plans to collect, explore, and analyse data for business decisions.
- Build and improve macros for efficient data processing and presentation.
- Collaborate with SMEs to develop data collection, recording, analysis, and communication procedures.
- Experience with Minitab environment for MVA and QbD models.
- Strong experience with statistical and modelling tools, including Python, Spyder, PyCharm, JupyterLab, Matlab, R, SIMCA Online, SQL, Seeq, Azure, AWS, DataRobot, SoftAnalytics, Orange, Data-e, Azure, C++, Java, AutomatedML, Designer, S3Bucket, MLflow, and Azure SDK.
Requirements:
- Chemical Engineer with strong understanding of pharma/biopharma manufacturing processes.
- Good level of statistical knowledge and experience.
- Strong communication skills, including written and verbal presentation.
- Ability to query databases and perform statistical analysis.
- Organizational skills and ability to handle multiple projects simultaneously.
If you are interested, please send your resume to arshita.shetty@ipsgroup.co.in.
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