Job Description
Position: Data Science Lead
Company: SAP Sudan
Location: Sinnar, Sudan
Experience: 8+ years in data science, machine learning, and analytics
Education: Master’s degree in Computer Science, Data Science, Statistics, or related field
Employment Type: Full-time
Industry: Technology – Data Science
Department: Data & Analytics
Salary: SSP 150,000 – 250,000 per month
Vacancies:1
Company Overview
SAP Sudan is a leading provider of enterprise software solutions, empowering businesses across the region with innovative cloud and on‑premise platforms. With a strong commitment to digital transformation, SAP Sudan supports a diverse portfolio of clients ranging from manufacturing and retail to public sector institutions. The company’s presence in Sudan reflects its dedication to fostering local talent, driving economic growth, and delivering cutting‑edge technology solutions that align with global standards. As part of SAP’s global network, SAP Sudan offers a dynamic environment where professionals can contribute to high‑impact projects, collaborate with international experts, and shape the future of data‑driven decision making. This role presents an exciting opportunity for ambitious candidates seeking to advance their careers within a reputable multinational organization while contributing to Sudan Jobs and the broader technology ecosystem.
Job Overview
The Data Science Lead will spearhead the design, development, and deployment of advanced analytics and machine learning models that drive strategic insights for SAP Sudan’s clients. Reporting to the Head of Data & Analytics, you will lead a cross‑functional team of data scientists, engineers, and analysts to deliver scalable solutions that enhance business performance. This position plays a pivotal role in shaping the data strategy, ensuring data quality, and fostering a culture of data‑centric innovation. For more information about SAP Sudan and its commitment to career growth, visit https://sudanjobsearch.com/. The role is central to SAP’s mission of enabling intelligent enterprises and offers a platform to influence the future of data science in Sudan.
Key Responsibilities
- Lead the end‑to‑end lifecycle of data science projects, from problem definition to model deployment and monitoring.
- Collaborate with business stakeholders to translate complex business challenges into analytical solutions.
- Develop and optimize machine learning algorithms, predictive models, and statistical analyses using Python, R, and Spark.
- Ensure data governance, security, and compliance in line with SAP standards and local regulations.
- Mentor and coach junior data scientists, fostering skill development and knowledge sharing.
- Drive the adoption of best practices in model validation, reproducibility, and performance tracking.
- Partner with IT and engineering teams to integrate models into SAP’s cloud platforms and enterprise applications.
- Stay abreast of emerging technologies and industry trends to continuously enhance SAP’s data science capabilities.
Required Skills
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Strong programming skills in Python, R, and SQL.
- Experience with big data technologies (Hadoop, Spark, Kafka).
- Expertise in statistical modeling, time‑series analysis, and natural language processing.
- Ability to communicate complex analytical concepts to non‑technical audiences.
- Leadership experience managing multidisciplinary data teams.
- Knowledge of cloud services (AWS, Azure, SAP Cloud Platform).
- Strong problem‑solving mindset and business acumen.
Education
A Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a closely related discipline is required. Advanced certifications in machine learning, big data, or cloud platforms are highly desirable and demonstrate a commitment to continuous learning.
Experience
Candidates must have a minimum of eight years of professional experience in data science, with at least three years in a leadership or lead role. Proven track record of delivering production‑grade machine learning solutions in enterprise environments is essential. Experience within the SAP ecosystem or with ERP data is a strong advantage.
Salary
The compensation package ranges from SSP 150,000 to SSP 250,000 per month, commensurate with experience, expertise, and the value you bring to the organization. The package includes performance‑based bonuses and other incentives aligned with company goals.
Benefits
- Comprehensive health insurance covering medical, dental, and vision.
- Retirement savings plan with employer contributions.
- Generous paid time off and public holiday schedule.
- Flexible working arrangements, including remote work options.
- Employee assistance programs and wellness initiatives.
Training
- Access to SAP Learning Hub for continuous professional development.
- Sponsored certifications in data science, cloud platforms, and SAP solutions.
- Mentorship programs with senior leaders across the SAP global network.
- Regular workshops, webinars, and hackathons to foster innovation.
Working Environment
SAP Sudan offers a collaborative, inclusive, and technology‑driven workplace located in a modern office in Sinnar. The environment encourages creativity, knowledge sharing, and a strong sense of community. Employees benefit from state‑of‑the‑art infrastructure, high‑speed internet, and a culture that values diversity and work‑life balance.
Application Process
Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal on the SAP Careers page. Applications will be reviewed by the recruitment team, and shortlisted candidates will be invited for a virtual interview followed by a technical assessment. The hiring process is designed to be transparent, efficient, and respectful of candidates’ time.
Equal Opportunity Statement
SAP Sudan is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status. Join us and be part of a team that values your unique perspective and drives meaningful impact across Sudan Jobs and beyond.