Senior Data Scientist Job Vacancy in Mbabane, Eswatini – Technology & Artificial Intelligence

Job Description

Position: Senior Data Scientist

Company: Google Eswatini

Location: Mbabane, Eswatini

Experience: 5+ years

Education: Master’s Degree in Statistics, Computer Science, or Mathematics

Employment Type: Full-time

Industry: Technology & Artificial Intelligence

Department: Data Science & Machine Learning

Salary: 450,000 SSP – 720,000 SSP per annum

Vacancies: 1

Company Overview

Google Eswatini is a leading force in the digital transformation of the Southern African region. As part of a global leader in technology, our local operations focus on driving innovation through advanced computing, cloud solutions, and data-driven insights. We are committed to creating tools that empower businesses and individuals across the continent. By joining our team, you become part of a culture that values curiosity, creativity, and the relentless pursuit of solving complex problems through technology. We are currently expanding our footprint in Mbabane to better serve the growing digital economy in the region. This expansion represents significant career opportunities in Eswatini for highly skilled professionals looking to make a global impact from a local base.

Job Overview

We are seeking a highly analytical and visionary Senior Data Scientist to join our growing technical team in Mbabane. This role is critical to our mission of turning massive datasets into actionable intelligence. You will work at the intersection of mathematics, programming, and business strategy to develop predictive models that drive product decisions and operational efficiency. As a key member of our research and development division, you will lead complex projects that involve deep learning, natural language processing, and large-scale data engineering. This is a premier job vacancy in Eswatini for someone who thrives in a fast-paced, high-tech environment. You will collaborate with engineers, product managers, and stakeholders to ensure our algorithms are accurate, ethical, and scalable. For more information on our current projects, please visit https://eswatinijobsearch.com.

Key Responsibilities

• Develop and implement advanced machine learning models to solve complex business problems.
• Design and execute large-scale data experiments to validate hypothesis and improve algorithm performance.
• Collaborate with software engineers to integrate predictive models into production-level applications.
• Communicate complex technical findings to non-technical stakeholders through intuitive data storytelling.
• Mentor junior data scientists and contribute to the internal knowledge base of best practices.
• Ensure all data processing and modeling adheres to strict ethical and privacy standards.

Required Skills

• Expertise in Python, R, or Scala for statistical modeling and data manipulation.
• Deep understanding of supervised and unsupervised learning algorithms.
• Proficiency in SQL and experience working with Big Data frameworks like Spark or Hadoop.
• Strong mathematical foundation in linear algebra, calculus, and probability.
• Excellent problem-solving skills and the ability to work independently in a remote-hybrid setup.

Education

A Master’s degree or PhD in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, or Engineering is required. A strong academic record in computational research is highly preferred.

Experience

Candidates must possess a minimum of 5 years of professional experience in a data science or machine learning role. Proven experience in deploying models into a production environment is essential. We value candidates who have experience working in international tech environments and have contributed to open-source projects.

Salary

The annual salary for this position ranges from 450,000 SSP to 720,000 SSP, depending on experience, expertise, and performance during the interview process. This is a competitive package designed to attract the best talent in the region.

Benefits

• Comprehensive health and wellness insurance coverage.
• Flexible working hours and hybrid work arrangements.
• Generous annual leave and paid time off.
• Professional development budget for certifications and conferences.
• Performance-based annual bonuses.

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Training

• Continuous learning programs on the latest AI and ML frameworks.
• Internal workshops led by global subject matter experts.
• Access to premium online learning platforms and technical certifications.

Working Environment

Our Mbabane office provides a modern, collaborative, and inclusive environment. We foster a culture of psychological safety where every idea is valued. While we offer a high-performance setting, we prioritize work-life balance and mental well-being. You will work alongside some of the brightest minds in the industry, participating in regular hackathons and technical brainstorming sessions. This is one of the most exciting employment in Eswatini for tech professionals.

Application Process

Interested candidates should prepare an updated CV and a portfolio of technical projects or a link to their GitHub repository. The recruitment process includes an initial screening, a technical assessment, and two rounds of interviews with our senior leadership team. Please note that all applications are reviewed through our centralized portal. For more career paths, visit https://ugandajobssearch.com/.

Equal Opportunity Statement

Google Eswatini is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are hiring in Eswatini to build a team that reflects the diversity of the communities we serve.