NLP Data Scientist

Placements24; Vereeniging; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Professional growth in NLP

Advanced datasets access

Collaborative team

Career progression

Engaging projects

Job summary

Placements24 in Vereeniging, Gauteng seeks an NLP Data Scientist to turn unstructured text into actionable insights. You will design, develop, and deploy NLP models for sentiment analysis, classification, topic modeling, and QA, collaborating with engineering on production deployments.

Ideal candidates hold a Master’s or PhD in CS/ Linguistics/ Data Science with NLP focus, and have hands-on experience with Python, NLTK, SpaCy, Transformers, TensorFlow or PyTorch, plus strong data analysis and

Qualifications

• Master's or Ph.D. in Computer Science, Linguistics, Data Science, or a related field with a focus on NLP.
• Proven experience in applying NLP techniques to real-world problems.
• Proficiency in Python and NLP libraries (e.g., NLTK, SpaCy, Transformers).
• Experience with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Strong understanding of linguistic principles and computational linguistics.
• Experience with text preprocessing, vectorization, and embedding techniques.
• Excellent data analysis and visualization skills.
• Strong problem-solving and communication abilities.
• Proximity or willingness to work in Vereeniging, Gauteng is required.

Responsibilities

• Develop and implement advanced NLP models and algorithms for various text-based tasks.
• Process, clean, and analyze large volumes of unstructured text data.
• Perform feature engineering and model selection for optimal NLP performance.
• Collaborate with engineering teams to deploy NLP solutions into production environments.
• Evaluate model performance and iterate to improve accuracy and efficiency.
• Conduct research into state-of-the-art NLP techniques and tools.
• Communicate findings and insights to both technical and non-technical stakeholders.
• Contribute to the design and improvement of data collection and annotation processes.

Skills

NLP

Python

Data analysis

Visualization

Communication

Problem solving

NLTK

SpaCy

Transformers

TensorFlow

PyTorch

Education

MSc/PhD NLP

Tools

NLTK

SpaCy

Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client, a leader in data-driven innovation, is looking for a talented NLP Data Scientist to join their team in Vereeniging, Gauteng. This role is pivotal in harnessing the power of natural language processing to extract insights from unstructured text data, driving significant business impact. You will be responsible for designing, developing, and deploying NLP models and solutions that address complex challenges in areas such as sentiment analysis, text classification, topic modeling, and question answering. The ideal candidate possesses a strong analytical mindset, deep expertise in NLP techniques, and a passion for transforming raw text into actionable intelligence. You will work in a collaborative environment within Vereeniging, Gauteng, contributing to cutting-edge AI projects.

Key Responsibilities

• Develop and implement advanced NLP models and algorithms for various text-based tasks.
• Process, clean, and analyze large volumes of unstructured text data.
• Perform feature engineering and model selection for optimal NLP performance.
• Collaborate with engineering teams to deploy NLP solutions into production environments.
• Evaluate model performance and iterate to improve accuracy and efficiency.
• Conduct research into state-of-the-art NLP techniques and tools.
• Communicate findings and insights to both technical and non-technical stakeholders.
• Contribute to the design and improvement of data collection and annotation processes.

Requirements

• Master's or Ph.D. in Computer Science, Linguistics, Data Science, or a related field with a focus on NLP.
• Proven experience in applying NLP techniques to real-world problems.
• Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Transformers).
• Experience with deep learning frameworks (TensorFlow, PyTorch) for NLP tasks.
• Strong understanding of linguistic principles and computational linguistics.
• Experience with text preprocessing, vectorization, and embedding techniques.
• Excellent data analysis and visualization skills.
• Strong problem-solving and communication abilities.
• Proximity or willingness to work in Vereeniging, Gauteng is required.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health and wellness benefits.
• Opportunities for professional growth and skill development in NLP.
• Access to advanced datasets and computational resources.
• Collaborative team environment focused on innovation.
• Clear career progression path within the data science team.
• Engaging projects with tangible business impact.