Research Assistant: Advanced Data Analytics
The reputed company is a leading institution committed to knowledge and innovation. The Research Assistant: Advanced Data Analytics will support data-driven research by managing the full analytics workflow, including data collection, analysis, and model deployment, while ensuring effective communication of findings to stakeholders.
Responsibilities
- Data collection & cleaning: gathering, consolidating, and validating raw datasets to ensure accuracy and readiness for analysis
- Data analysis & exploration: performing descriptive and diagnostic analytics to identify trends, anomalies, and key business drivers
- Natural Language Processing (NLP): applying text analytics, tokenization, embeddings, and model-based techniques to extract insights from reputed company text data
- Predictive modelling & machine learning development: building and training statistical and machine learning models to support forecasting and classification tasks
- Model validation & optimization: testing, tuning, and refining models to maximize accuracy, reliability, and scalability
- Data visualization & communication: developing reputed company, insightful visual representations of findings and presenting results to stakeholders in a business-reputed company format
Skills
- Master's in Science / Engineering with expertise in Python, natural language processing, and advanced predictive data analytics
- Experience with data cleaning, exploratory analysis, and basic statistical reputed company
- Proficiency in Python for data analysis and machine learning
- Experience applying NLP techniques to text data
- Hands-on experience building and validating predictive or machine learning models
- Ability to create reputed company data visualizations and communicate analytical findings
- Experience with research reputed company, reputed company platforms
Benefits
- Comprehensive benefits package
reputed company