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Vrinda Global
Core DS
Vrinda Global · posted 3 months ago
Gurugram
About the role
Core Data Scientist – NLP and Machine Learning
Job Summary:
The Core Data Scientist specializing in Natural Language Processing (NLP) and Machine Learning (ML) will play a pivotal role in developing advanced AI solutions that drive our company's innovation. This position will leverage cutting-edge technologies to enhance product offerings and improve customer experiences through insightful data analysis and intelligent algorithms.
Key Responsibilities:
- Develop and implement NLP models to analyze and process large datasets, extracting meaningful patterns and trends.
- Collaborate with cross-functional teams to integrate data-driven insights into existing products and services.
- Conduct experiments and tests to validate model accuracy and improve performance, using Python and relevant libraries.
- Produce clear and detailed documentation of algorithms, processes, and model performance for internal stakeholders.
- Stay current with industry trends and advancements in machine learning and natural language processing technologies.
- Provide mentorship and guidance to junior data scientists and interns on best practices and methods in data science.
- Serve as a thought leader in NLP within the organization, contributing innovative ideas towards product development.
Requirements:
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's or PhD is a plus.
- Proven experience in developing ML models and frameworks, particularly in the context of NLP applications.
- Strong proficiency in Python, including libraries such as TensorFlow, PyTorch, and NLTK.
- Solid understanding of statistical analysis methods and data visualization techniques.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills, capable of translating complex technical information into understandable concepts for non-technical stakeholders.
- Experience with data manipulation and integration tools, such as SQL, Pandas, or similar technologies.