Data Scientist - NLP Focus

Placements24; Gqeberha; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Health benefits

Professional development budget

Access to cutting-edge tools

Job summary

Placements24 is seeking a Data Scientist with NLP specialization to join a fully remote team. You will develop and deploy NLP models for text classification, sentiment analysis, NER, and translation, using transformers, spaCy, and NLTK.

Collaborating with product managers and engineers, you will preprocess large text datasets, run experiments, and communicate insights to technical and non-technical stakeholders. A Master's or PhD in a relevant field is required.

Qualifications

• Master's or Ph.D. in Computer Science, Computational Linguistics, Data Science, or related field with a strong focus on NLP.
• Proven experience in developing and implementing NLP models for real-world applications.
• Proficiency in Python and extensive experience with NLP libraries and frameworks.

Responsibilities

• Develop, train, and deploy sophisticated NLP models for text classification, sentiment analysis, NER, and translation.
• Utilize deep learning techniques and state-of-the-art NLP libraries to build language models.
• Clean, preprocess, and analyze large volumes of unstructured text data.
• Collaborate with product managers and engineers to integrate NLP solutions into applications.
• Design and conduct experiments to evaluate model performance and identify improvements.
• Communicate complex findings to technical and non-technical audiences.

Skills

Python

NLP libraries

ML algorithms

Problem solving

Education

Master's or PhD in CS/Computational Linguistics/Data Science

Tools

Transformers

spaCy

NLTK

Job description

Our client is a leader in leveraging AI to transform industries and is seeking a talented Data Scientist with a specialization in Natural Language Processing (NLP) to join their expanding team, working remotely. This role focuses on extracting meaningful insights from text data, developing advanced NLP models, and applying them to solve critical business problems. You will collaborate with a team of data scientists, engineers, and domain experts to build intelligent systems that understand and process human language. This is an exciting opportunity for an NLP expert to drive innovation in a fully remote setting.

Key Responsibilities

• Develop, train, and deploy sophisticated NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
• Utilize deep learning techniques and state-of-the-art NLP libraries (e.g., Transformers, spaCy, NLTK) to build cutting-edge language models.
• Clean, preprocess, and analyze large volumes of unstructured text data from various sources.
• Collaborate with product managers and engineers to integrate NLP solutions into user-facing applications and internal tools.
• Design and conduct experiments to evaluate model performance and identify areas for improvement.
• Communicate complex findings and model capabilities to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, Data Science, or a related field with a strong focus on NLP.
• Proven experience in developing and implementing NLP models for real-world applications.
• Proficiency in Python and extensive experience with NLP libraries and frameworks.
• Strong understanding of machine learning algorithms and statistical modeling.
• Experience working with large datasets and distributed computing environments is a plus.
• Excellent problem-solving skills and the ability to thrive in a dynamic, remote work environment.

Benefits

• Highly competitive salary and performance bonuses.
• Full remote work arrangement, offering flexibility and work-life balance.
• Comprehensive health and wellness benefits package.
• Generous budget for professional development, conferences, and online courses.
• Access to cutting-edge tools and a supportive community of AI professionals.