Senior Data Scientist Job Vacancy in Pemba, Mozambique – Artificial Intelligence | Google

Job Description

Position: Senior Data Scientist

Company: Google

Location: Pemba, Mozambique

Experience: 5+ years

Education: Master’s Degree in Computer Science or Statistics

Employment Type: Full-time

Industry: Technology

Department: Artificial Intelligence

Salary: 120,000 – 180,000 SSP

Vacancies: 1

Company Overview

Google is a global leader in technology, dedicated to organizing the world’s information and making it universally accessible and useful. As a pioneer in search engine technology, cloud computing, and artificial intelligence, Google continues to push the boundaries of what is possible in the digital age. Our mission is to empower every person and every organization on the planet to achieve more through innovative software and hardware solutions. In Mozambique, we are expanding our footprint to support local digital transformation and provide high-level technical expertise to the growing African tech ecosystem. We believe in fostering a culture of curiosity, inclusivity, and relentless innovation to solve the world’s most complex problems.

Working at Google means being part of a diverse team of experts who are passionate about creating impactful technology. We offer a unique environment where creativity meets cutting-edge science, allowing our employees to work on projects that affect billions of users worldwide. As we grow our presence in the region, we are looking for top-tier talent to join our mission of driving technological advancement across the continent. This is a premier opportunity for those seeking career opportunities in Mozambique within the most advanced tech sector.

Job Overview

We are seeking a highly skilled Senior Data Scientist to join our specialized Artificial Intelligence division in Pemba. This role is critical to our regional expansion, focusing on developing sophisticated machine learning models and predictive analytics that can be applied to diverse datasets. The successful candidate will bridge the gap between complex mathematical theory and practical software implementation, ensuring that our algorithms are both accurate and scalable. You will work alongside world-class engineers and researchers to turn massive amounts of raw data into actionable intelligence.

This position is ideal for a professional who thrives in a fast-paced, research-driven environment. You will be responsible for the entire data science lifecycle, from data ingestion and cleaning to model deployment and monitoring. As we continue hiring in Mozambique, this role will serve as a cornerstone for our local AI initiatives. For more information on our global initiatives, please visit https://mozambiquejobsearch.com.

Key Responsibilities

• Design, develop, and implement advanced machine learning algorithms and deep learning models.
• Collaborate with cross-functional teams to identify business problems and translate them into mathematical models.
• Perform large-scale data analysis to extract meaningful insights and trends from complex datasets.
• Optimize existing algorithms to improve performance, accuracy, and computational efficiency.
• Develop automated data pipelines to ensure high-quality data availability for modeling.
• Communicate technical findings to non-technical stakeholders through clear visualizations and reports.

Required Skills

• Expertise in Python, R, or Scala for statistical modeling and data manipulation.
• Deep understanding of supervised and unsupervised learning, reinforcement learning, and neural networks.
• Proficiency in SQL and experience working with Big Data technologies like Hadoop or Spark.
• 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 Computer Science, Mathematics, Statistics, Physics, or a related quantitative field is required. Candidates with exceptional industry experience and equivalent practical knowledge will also be considered.

Experience

A minimum of 5 years of professional experience in a data science or machine learning role is essential. Proven track record of deploying production-level machine learning models is highly desirable. Experience working in a global technology firm is a significant advantage for this job vacancy in Mozambique.

Salary

The annual salary for this position ranges from 120,000 SSP to 180,000 SSP, depending on experience, skills, and performance during the interview process.

Benefits

• Comprehensive health and wellness insurance packages.
• Flexible working hours and remote work options.
• Generous parental leave and family support programs.
• Professional development budget for certifications and conferences.
• Competitive retirement savings and equity options.

Training

• Continuous access to Google’s internal advanced AI research workshops.
• Mentorship programs with leading global data scientists.
• Subscription to premium technical learning platforms.

Working Environment

The working environment is highly collaborative and intellectually stimulating. While based in Pemba, you will interact daily with teams in North America, Europe, and Asia. We promote a culture of psychological safety where every idea is valued. We are committed to providing the best tools and infrastructure to ensure your success. For more career paths, check https://eswatinijobsearch.com/.

Application Process

Interested candidates should submit their CV and a portfolio of relevant projects through our official portal. The process includes an initial screening, a technical assessment involving coding and statistical theory, and several rounds of interviews with senior leadership. We prioritize candidates who demonstrate a passion for solving real-world problems through data. Explore more employment in Mozambique by visiting https://lesothojobsearch.com/job-vacancy-lesotho/.

Equal Opportunity Statement

Google 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 looking for the best talent to join our growing team in Mozambique.