Overview
As a Data Scientist with expertise in Python and NLP (Natural Language Processing) you will play a crucial role in extracting insights from large datasets and developing algorithms to analyze and interpret complex data sets. Your work will directly impact decisionmaking processes and help drive business strategies and insights.
Key responsibilities:
- Develop finetune and deploy NLP models for various use cases such as text classification sentiment analysis entity recognition and more.
- Perform preprocessing and cleaning of large textual datasets to extract meaningful insights.
- Design implement and optimize machine learning models using Python for realworld applications.
- Collaborate with crossfunctional teams to integrate data science solutions into business processes.
- Conduct research to explore and prototype new techniques in NLP and machine learning.
- Analyze model performance conduct A/B testing and iterate on models for improvements.
- Work with both structured and unstructured data to derive actionable insights for key stakeholders.
- Automate repetitive processes in data analysis model building and performance monitoring.
- Stay updated with the latest NLP and machine learning research tools and technologies to incorporate them into solutions.
statistical modeling,sentiment analysis,python,nlp,text classification,prototyping,algorithm development,unstructured data,performance monitoring,data analysis,entity recognition,machine learning,research,a/b testing,data science,data scientist,structured data,automation,cross-functional collaboration,model optimization