Senior Data Scientist - NLP Focus

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

About the Role

Our client is looking for a highly skilled Senior Data Scientist with a strong focus on Natural Language Processing (NLP) to join their innovative, remote-first team. This role is instrumental in extracting meaningful insights from textual data, developing sophisticated language models, and driving product innovation through advanced text analytics. You will have the opportunity to work on challenging problems that require deep analytical expertise and creative problem-solving. This is an exciting prospect for a data scientist who thrives on tackling complex linguistic data challenges and wants to make a significant impact on a global scale, all from the comfort of their chosen location.

Key Responsibilities

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

Requirements

• Ph.D. or Master's degree in Computer Science, Computational Linguistics, Data Science, or a related field.
• Minimum of 5 years of professional experience in Data Science, with a significant portion dedicated to NLP.
• Proficiency in Python and libraries like NLTK, spaCy, Hugging Face Transformers, and scikit-learn.
• Strong understanding of machine learning algorithms, deep learning architectures (e.g., RNNs, LSTMs, Transformers), and statistical methods.
• Experience with cloud platforms and big data technologies is advantageous.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work environment, allowing flexibility and work-life balance.
• Generous professional development budget for courses, conferences, and certifications.
• Access to cutting-edge tools and technologies for data analysis and model development.
• A collaborative and intellectually stimulating team culture, focused on continuous learning and innovation.