Data Scientist (NLP)

Job Description

We are actively seeking a Data Scientist with a strong focus on Natural Language Processing (NLP) to join our talented team in Pretoria. In this role, you will utilize your expertise to analyse complex datasets, develop machine learning models, and contribute to innovative NLP projects that enhance our data analysis capabilities.

Responsibilities

• Develop and implement NLP models to extract and analyze textual data.
• Collaborate with cross-functional teams to understand project requirements and deliver data-driven solutions.
• Perform data wrangling, feature engineering, and data visualization.
• Conduct research to stay updated on the latest advancements in NLP and machine learning.
• Present findings and insights to stakeholders, ensuring clear communication of complex concepts.
• Participate in code reviews and contribute to the team's best practices for data science.

Requirements

Education

• Bachelor's degree in Computer Science or related field
• Master's degree in a similar field would be beneficial

Experience

• 4+ years of experience in data science focusing on NLP applications

Technical Skills

• R
• Deep Learning Techniques

Soft Skills

• Teamwork
• Problem Solving

Certifications

• Natural Language Processing Certification
• Google Cloud Certified - Professional Data Engineer

Languages

• English: Fluent
• Afrikaans: Basic

Advantageous

• Experience with cloud platforms (AWS, GCP): Familiarity with cloud solutions for deploying NLP applications.
• Contributions to open source NLP projects: Demonstrable engagement with the data science community through contributions.

Benefits

• Competitive salary package
• Annual performance bonus
• Medical aid contribution
• Flexible working hours
• Work-from-home options

Company Culture

• Innovation-driven: We encourage disruptive thinking and creativity in our data science projects.
• Collaborative Environment: A culture where teamwork and camaraderie are valued across all levels.
• Commitment to Diversity: We prioritize diverse perspectives to fuel our innovation and problem-solving capabilities.