Senior Data Scientist - NLP Focus

Placements24; Richards Bay; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Bonuses

Medical insurance

Professional development

Innovation culture

Job summary

Placements24 is seeking a Senior Data Scientist specialized in NLP to join our team in Richards Bay. You will build and deploy advanced NLP models, analyze large text datasets, and translate insights into product and business decisions.

You will collaborate with product and engineering teams, stay current with NLP research, and apply state-of-the-art techniques to real-world challenges, driving impact across the organization.

Qualifications

• Master's or PhD in Computer Science, Statistics, Computational Linguistics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a significant focus on NLP.
• Proficiency in Python and libraries such as NLTK, spaCy, Transformers, scikit-learn.
• Solid understanding of deep learning architectures for NLP (e.g., RNNs, LSTMs, Transformers).
• Experience with data processing, feature engineering, and model evaluation techniques for text data.
• Strong analytical, statistical, and problem-solving abilities.

Responsibilities

• Develop and deploy advanced NLP models for tasks such as sentiment analysis, topic modeling, text classification, and named entity recognition.
• Clean, preprocess, and analyze large volumes of unstructured text data.
• Design and implement machine learning experiments to evaluate model performance and identify improvements.
• Collaborate with product managers and engineers to integrate NLP solutions into user-facing applications and internal tools.
• Communicate complex findings and insights to both technical and non-technical stakeholders.
• Stay current with the latest research and advancements in NLP and AI.

Skills

NLP

Python

Deep learning

Transformers

Model evaluation

Communication

Education

Master's or PhD in CS/Statistics/Computational Linguistics

Tools

NLTK

spaCy

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented and experienced Senior Data Scientist with a specialization in Natural Language Processing (NLP) to join their innovative team in Richards Bay . You will be instrumental in unlocking insights from text data, developing sophisticated NLP models, and driving data-driven decision-making across the organization. This role requires a blend of strong analytical skills, deep understanding of machine learning, and practical experience in applying NLP techniques to solve business problems. You will work on challenging projects that leverage cutting-edge AI to transform how we interact with information and enhance our products and services.

Key Responsibilities

• Develop and deploy advanced NLP models for tasks such as sentiment analysis, topic modeling, text classification, and named entity recognition.
• Clean, preprocess, and analyze large volumes of unstructured text data.
• Design and implement machine learning experiments to evaluate model performance and identify improvements.
• Collaborate with product managers and engineers to integrate NLP solutions into user-facing applications and internal tools.
• Communicate complex findings and insights to both technical and non-technical stakeholders.
• Stay current with the latest research and advancements in NLP and AI.

Requirements

• Master's or PhD in Computer Science, Statistics, Computational Linguistics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a significant focus on NLP.
• Proficiency in Python and relevant libraries such as NLTK, spaCy, Transformers, scikit-learn.
• Solid understanding of deep learning architectures for NLP (e.g., RNNs, LSTMs, Transformers).
• Experience with data processing, feature engineering, and model evaluation techniques for text data.
• Strong analytical, statistical, and problem-solving abilities.

Benefits

• Attractive salary with performance incentives and bonuses.
• Comprehensive medical, dental, and vision insurance plans.
• Support for professional development, including online courses and conferences.
• A dynamic work environment that encourages innovation and collaboration.
• Opportunities to work on impactful AI projects that shape the future of the industry.