Website:
neoqubit.ai
Job details:
We are looking for an experienced Advanced Data Science Consultant with strong expertise in simulation modeling, statistical analysis, and Python-based application development. The candidate will be responsible for developing analytical models, integrating multiple enterprise data sources, and building intuitive decision-support applications using Streamlit.
Responsibilities
- Develop and implement simulation models, including cohort-based modeling approaches.
- Perform advanced statistical analyses such as regression analysis, survival analysis, and Bayesian statistics.
- Design and develop scalable Python-based analytical applications.
- Integrate and process data from multiple structured and unstructured data sources such as LAAD and WIG2
- Build interactive and user-friendly dashboards/applications using Streamlit.
- Translate complex analytical outputs into business-ready insights and recommendations.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Ensure accuracy, scalability, and performance optimization of analytical models and applications.
Requirements
- Experience: 6-8 Years.
- Core Skillset: Python, Streamlit.
- Strong programming expertise in Python.
- Hands-on experience with Streamlit application development.
- Expertise in simulation modeling and statistical techniques.
- Experience with regression models, survival analysis, and Bayesian methods.
- Strong understanding of data integration and data transformation processes.
- Ability to communicate complex analytical findings effectively.
Preferred Qualifications
- Experience working with healthcare/life sciences analytical models is an added advantage.
- Exposure to enterprise data platforms and large-scale datasets.
- Strong problem-solving and stakeholder management skills.
This job was posted by Arulsakthi V from Neoqubit.
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