Senior NLP Data Scientist | Remote Text Analytics

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Professional development budget

Cutting-edge tools

Collaborative culture

Job summary

Placements24 seeks a Senior Data Scientist specializing in NLP to join a remote-first team. You will design and deploy NLP models, analyze large textual datasets, and collaborate with product and engineering teams to shape data-driven products.

Ideal candidates hold a PhD or MSc in a related field, with 5+ years in Data Science and NLP, and strong Python & libraries experience. The role offers global impact from any location with competitive compensation and growth opportunities.

Qualifications

• Ph.D. or Master's degree in Computer Science, Computational Linguistics, Data Science, or related field.
• Minimum of 5 years of professional experience in Data Science with a focus on NLP.
• Proficiency in Python and NLP libraries such as NLTK, spaCy, Hugging Face Transformers, and scikit-learn.

Responsibilities

• Design, develop, and implement NLP models for sentiment analysis, topic modeling, named entity recognition, and text summarization.
• Process and analyze large volumes of unstructured text data to identify trends and insights.
• Build and deploy scalable NLP solutions integrated into client-facing applications.
• Collaborate with product managers and engineers to define data requirements and drive data-informed product development.
• Research new NLP techniques and evaluate their potential applications.

Skills

NLP expertise

Python

Deep learning

Transformer models

Statistical methods

Education

PhD or Master in CS/Computational Linguistics/Data Science

Tools

NLTK

spaCy

Hugging Face Transformers

scikit-learn

Job description

Placements24 seeks a Senior Data Scientist specializing in NLP to join a remote-first team. You will design and deploy NLP models, analyze large textual datasets, and collaborate with product and engineering teams to shape data-driven products.

Ideal candidates hold a PhD or MSc in a related field, with 5+ years in Data Science and NLP, and strong Python & libraries experience. The role offers global impact from any location with competitive compensation and growth opportunities.