Senior Data Scientist - NLP Specialist

Placements24; Gauteng; Hybrid; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Health and wellness benefits

Cutting-edge tools for R&D

Learning opportunities

Job summary

Placements24 is seeking a Senior Data Scientist with NLP expertise in Pretoria to drive AI-powered text analytics and model development. You will extract insights from unstructured text, build advanced language models, and influence business intelligence through research-driven solutions.

The role offers a hybrid work model, cutting-edge tools, and opportunities for continuous learning within a collaborative team. A strong publication or research background is valued.

Qualifications

• Master's or PhD in Computer Science, Computational Linguistics, Data Science, or a related field.
• 5+ years of hands-on experience in data science, with a strong focus on Natural Language Processing.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Solid understanding of statistical methods, machine learning algorithms, and deep learning architectures for text.
• Excellent problem-solving abilities and experience working with large datasets.

Responsibilities

• Develop and implement state-of-the-art NLP models for text classification, sentiment analysis, named entity recognition, and topic modeling.
• Design and execute experiments to evaluate and refine NLP algorithms and solutions.
• Process and analyze large volumes of textual data, identifying patterns and generating actionable insights.
• Collaborate with engineering teams to integrate NLP models into production systems and applications.
• Stay current with the latest research and advancements in NLP and machine learning, applying them to solve business challenges.
• Communicate complex findings and recommendations effectively to both technical and non-technical stakeholders.

Skills

Python

NLP libraries

TensorFlow

PyTorch

Statistics

Big data

Education

Master's or PhD

Tools

NLTK

spaCy

Hugging Face Transformers

Job description

About the Role

Our client is seeking a highly skilled Senior Data Scientist with a specialization in Natural Language Processing (NLP) to join their innovative team in Pretoria. This role is critical for extracting valuable insights from unstructured text data, developing sophisticated language models, and driving AI-powered text analytics solutions. You will work on challenging and impactful projects, contributing to the development of intelligent features and services that enhance user interaction and business intelligence. This position offers a fantastic opportunity to apply advanced NLP techniques in a dynamic environment, collaborating with cross-functional teams to shape the future of AI-driven communication and understanding.

Key Responsibilities

• Develop and implement state-of-the-art NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and topic modeling.
• Design and execute experiments to evaluate and refine NLP algorithms and solutions.
• Process and analyze large volumes of textual data, identifying patterns and generating actionable insights.
• Collaborate with engineering teams to integrate NLP models into production systems and applications.
• Stay current with the latest research and advancements in NLP and machine learning, applying them to solve business challenges.
• Communicate complex findings and recommendations effectively to both technical and non-technical stakeholders.

Requirements

• Master's or PhD in Computer Science, Computational Linguistics, Data Science, or a related field.
• 5+ years of hands-on experience in data science, with a strong focus on Natural Language Processing.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Solid understanding of statistical methods, machine learning algorithms, and deep learning architectures for text.
• Excellent problem-solving abilities and experience working with large datasets.

Benefits

• Attractive salary and performance-based incentives.
• Hybrid work model providing flexibility and work-life balance.
• Comprehensive health and wellness benefits.
• Access to cutting-edge tools and technologies for research and development.
• Continuous learning opportunities and professional growth pathways.
• A collaborative and intellectually stimulating work environment.