Data Science Lead Job Vacancy in Maun, Botswana – Technology & Data Analytics

Job Description

Position: Data Science Lead

Company: IBM Botswana

Location: Maun, Botswana

Experience: 5-7 years

Education: Master’s degree in Data Science, Computer Science, Statistics, or related field

Employment Type: Full-time

Industry: Technology & Data Analytics

Department: Data Science & AI

Vacancies:1

Company Overview

IBM Botswana is a leading global technology and consulting firm delivering innovative solutions that empower businesses across Africa. With a strong commitment to digital transformation, IBM leverages artificial intelligence, cloud computing, and advanced analytics to help clients achieve sustainable growth. Our Maun office serves as a strategic hub for regional projects, fostering collaboration with local enterprises, government agencies, and educational institutions. As part of IBM’s worldwide network, we provide world‑class resources, cutting‑edge research, and a culture of continuous learning, making us an employer of choice for top talent seeking career advancement in Botswana Jobs.

Our presence in Botswana aligns with the national vision of building a knowledge‑based economy. We partner with the Ministry of Education, local universities, and tech startups to nurture a vibrant ecosystem of innovation. By joining IBM Botswana, you become part of a diverse team that drives impactful change, supports community initiatives, and contributes to the broader goals of Employment in Botswana and Career Opportunities in Botswana.

Job Overview

The Data Science Lead will spearhead the design, development, and deployment of advanced analytics solutions that address complex business challenges for our clients in the Southern African region. Reporting to the Head of Data & AI, you will lead a multidisciplinary team of data scientists, engineers, and analysts, ensuring the delivery of high‑quality, scalable models that generate actionable insights. This role offers a unique opportunity to shape IBM’s data strategy in Botswana, influence industry standards, and mentor emerging talent.

For more information about our hiring process, visit our main career portal at https://botswanajobsearch.com. Explore additional regional opportunities at https://somaliajobsearch.com/job-vacancy-in-mogadishu/ and https://nigeriajobsearch.com/vacancy-in-nigeria/. These resources provide insight into the dynamic landscape of Jobs in Botswana and neighboring markets.

Key Responsibilities

• Lead end‑to‑end data science projects, from problem definition and data acquisition to model deployment and monitoring.
• Collaborate with clients to translate business objectives into analytical solutions, ensuring alignment with strategic goals.
• Develop and maintain machine‑learning pipelines using Python, R, Spark, and cloud platforms such as IBM Cloud and AWS.
• Mentor and coach junior data scientists, fostering a culture of knowledge sharing and continuous improvement.
• Drive the adoption of best practices in data governance, model interpretability, and ethical AI.
• Present findings and recommendations to senior stakeholders through compelling visualizations and storytelling.
• Stay abreast of emerging technologies and industry trends to keep IBM at the forefront of Data Science innovation.

Required Skills

• Expertise in statistical modeling, machine learning, deep learning, and natural language processing.
• Proficiency with data manipulation tools (SQL, Pandas) and big‑data frameworks (Hadoop, Spark).
• Strong programming skills in Python or R, with experience in version control (Git).
• Ability to design scalable architectures and integrate models into production environments.
• Excellent communication and stakeholder management abilities.
• Leadership experience managing cross‑functional teams.
• Problem‑solving mindset with a focus on delivering business value.

Education

A Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related discipline is required. Candidates with Ph.D. qualifications or relevant certifications (e.g., IBM Data Science Professional Certificate, AWS Certified Machine Learning) are highly desirable.

Experience

Minimum of five to seven years of hands‑on experience in data science, analytics, or AI research, preferably within consulting or enterprise environments. Demonstrated track record of delivering production‑grade models and leading technical teams is essential.

Benefits

• Competitive salary package aligned with market standards for Botswana Jobs.
• Performance‑based bonuses and stock‑option opportunities.
• Comprehensive health insurance covering medical, dental, and vision.
• Generous paid time off, including vacation, sick leave, and public holidays.
• Professional development budget for certifications, conferences, and advanced training.
• Flexible working arrangements and remote‑work options.
• Access to IBM’s global learning platforms and mentorship programs.

Training

• Onboarding program covering IBM’s AI ethics framework, data governance policies, and cloud infrastructure.
• Continuous learning pathways in emerging AI technologies, such as quantum computing and edge AI.
• Leadership development workshops to enhance managerial competencies.

Working Environment

IBM Botswana offers a collaborative, inclusive, and innovative workplace where diversity of thought is celebrated. Our Maun office features modern workspaces, state‑of‑the‑art labs, and access to global expertise through virtual collaboration tools. Employees enjoy a supportive culture that encourages creativity, work‑life balance, and community engagement.

Application Process

Interested candidates should submit an online application through our career portal, attaching a detailed resume and a cover letter highlighting relevant achievements. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the hiring panel. Successful candidates will receive an offer letter outlining compensation, benefits, and start‑date details.

Equal Opportunity Statement

IBM Botswana is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, ethnicity, religion, sexual orientation, disability, or veteran status. Our hiring practices reflect our dedication to fostering a workplace where every individual can thrive and contribute to the success of our organization and the broader community.