Senior Data Science Lead Job Vacancy in Nimule, South Sudan – Technology

Job Description

Position: Senior Data Science Lead

Company: IBM

Location: Nimule, South Sudan

Experience: 10+ years

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

Employment Type: Full-time

Industry: Technology

Department: Data Science & Analytics

Salary: SSP 250,000 – 350,000 per month

Vacancies:1

Company Overview

IBM is a global leader in technology and innovation, delivering cutting‑edge solutions across cloud computing, artificial intelligence, and data analytics. With a commitment to empowering businesses and societies, IBM operates in more than 170 countries, fostering digital transformation and sustainable growth. In South Sudan, IBM partners with local enterprises and government agencies to build data‑driven ecosystems that support economic development, improve public services, and create high‑skill employment opportunities. The company’s presence in Nimule serves as a strategic hub for cross‑border collaboration, leveraging the town’s position as a gateway to East Africa. IBM’s culture emphasizes diversity, continuous learning, and ethical AI, making it an ideal environment for senior professionals seeking to lead impactful data initiatives.

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Job Overview

The Senior Data Science Lead will spearhead IBM’s data science practice in Nimule, driving the design and deployment of advanced analytics solutions for clients in finance, healthcare, agriculture, and public sector domains. This role involves collaborating with multidisciplinary teams to translate complex business challenges into scalable machine‑learning models, ensuring data quality, governance, and ethical standards. The successful candidate will mentor a growing team of data scientists, foster a culture of innovation, and represent IBM at industry forums, contributing to the broader vision of data‑enabled transformation across South Sudan. This position offers a unique opportunity to shape the future of AI‑driven services in a rapidly evolving market.

Key Responsibilities

• Lead end‑to‑end data science projects from problem definition to model deployment.
• Develop and optimize machine‑learning algorithms tailored to local market needs.
• Collaborate with clients to understand business objectives and translate them into analytical solutions.
• Establish data governance frameworks and ensure compliance with ethical AI guidelines.
• Mentor and coach junior data scientists, fostering skill development and knowledge sharing.
• Drive research initiatives to explore emerging AI technologies relevant to South Sudan.
• Present findings and strategic recommendations to senior stakeholders and executive leadership.
• Contribute to IBM’s thought leadership through publications, webinars, and conference participation.

Required Skills

• Proficiency in Python, R, and SQL for data manipulation and modeling.
• Deep expertise in machine‑learning libraries such as TensorFlow, PyTorch, or Scikit‑learn.
• Strong understanding of statistical modeling, time‑series analysis, and natural language processing.
• Experience with big‑data platforms like Hadoop, Spark, or Databricks.
• Ability to design and implement end‑to‑end MLOps pipelines.
• Excellent communication skills for translating technical concepts to non‑technical audiences.
• Leadership experience managing multidisciplinary data teams.
• Commitment to ethical AI practices and data privacy regulations.

Education

A Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a closely related discipline is required. Advanced certifications in AI or machine learning are highly desirable.

Experience

Minimum of ten years of professional experience in data science, with at least five years in a leadership or senior individual contributor role. Proven track record of delivering production‑grade AI solutions in emerging markets is essential.

Salary

The compensation package ranges from SSP 250,000 to SSP 350,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and equity incentives may be offered.

Benefits

• Comprehensive health insurance covering medical, dental, and vision.
• Retirement savings plan with company matching contributions.
• Generous paid time off and national holidays.
• Relocation assistance for eligible candidates.
• Flexible working arrangements, including remote work options.
• Access to IBM’s global learning platforms and certification programs.

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Training

• On‑boarding program focused on IBM’s AI ethics framework and local market insights.
• Continuous technical upskilling through IBM SkillsBuild and internal workshops.
• Leadership development courses tailored for senior managers.
• Cross‑functional training with cloud, cybersecurity, and industry experts.
• Opportunities to attend international conferences and seminars.

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Working Environment

IBM offers a collaborative, inclusive workplace that blends cutting‑edge technology with a supportive community ethos. Employees benefit from modern office facilities in Nimule, high‑speed internet connectivity, and a vibrant multicultural team. The company encourages work‑life balance, innovation, and open dialogue, ensuring that every voice contributes to the organization’s success. As part of IBM’s global network, staff have access to resources and expertise from around the world, fostering a dynamic environment where ideas flourish.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining relevant experience through IBM’s online career portal. Applications will be reviewed by the talent acquisition team, followed by an initial virtual interview. Successful applicants will then participate in a technical assessment and a final interview with senior leadership. The recruitment timeline is typically four weeks from submission to offer.

Equal Opportunity Statement

IBM is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, disability, religion, sexual orientation, or veteran status. All qualified applicants will receive consideration for employment without discrimination.