Job Description
Position:Data Science Lead
Company:Siemens
Location:Nyala, Sudan
Experience:5+ years
Education:Master’s degree in Computer Science, Data Science, Statistics, or related field
Employment Type:Full-time
Industry:Technology & Data Analytics
Department:Data Science & AI
Salary:180,000 – 250,000 SSP per month
Vacancies:1
Company Overview
Siemens is a global powerhouse in electrification, automation and digitalization, with a strong commitment to sustainable development across Africa. In Sudan, Siemens supports critical infrastructure projects, ranging from power generation to smart city initiatives. The company’s presence in Nyala enables it to contribute to regional growth, leveraging cutting‑edge technologies to improve healthcare, education, and industrial productivity. As part of Siemens’ strategic expansion, the Data Science Lead will play a pivotal role in transforming data into actionable insights that drive operational excellence and innovation. This position offers a unique platform for professionals seeking to make a lasting impact on Sudan Jobs while advancing their career within a world‑renowned organization.
Job Overview
The Data Science Lead will head a multidisciplinary team of data engineers, analysts, and machine learning specialists. Reporting to the Head of Digital Transformation, the role focuses on designing and implementing advanced analytics solutions that support Siemens’ projects in energy, manufacturing, and smart infrastructure. The successful candidate will collaborate with cross‑functional stakeholders, translate business challenges into data‑driven strategies, and ensure that analytical models align with Siemens’ standards of quality and ethics. This role is central to Siemens’ mission of delivering intelligent solutions that accelerate the digital future of Sudan, reinforcing the company’s reputation as a top employer for Jobs in Sudan.
Visit our main website: https://sudanjobsearch.com
Key Responsibilities
- Lead the end‑to‑end development of predictive models, AI algorithms, and data pipelines that support Siemens’ regional projects.
- Define data governance frameworks, ensuring data quality, security, and compliance with local regulations.
- Partner with engineering, operations, and sales teams to identify high‑impact analytics opportunities.
- Mentor and upskill junior data scientists, fostering a culture of continuous learning.
- Present analytical findings to senior leadership and external partners, translating complex results into clear business recommendations.
- Drive the adoption of cloud‑based analytics platforms and ensure seamless integration with existing Siemens systems.
Required Skills
- Proficiency in Python, R, SQL, and big‑data technologies such as Spark or Hadoop.
- Hands‑on experience with machine learning libraries (TensorFlow, PyTorch, scikit‑learn).
- Strong understanding of statistical modeling, time‑series analysis, and optimization techniques.
- Excellent problem‑solving abilities and a track record of delivering scalable analytics solutions.
- Effective communication skills in English; Arabic is a plus.
- Leadership experience managing multidisciplinary data teams.
Education
A Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related discipline is required. Advanced certifications in AI, cloud platforms (AWS, Azure, GCP), or project management are highly valued.
Experience
Minimum of five years of professional experience in data science, with at least two years in a leadership or lead role. Demonstrated success in deploying machine‑learning models in production environments, preferably within the energy, manufacturing, or infrastructure sectors.
Salary
The compensation package ranges from 180,000 to 250,000 SSP per month, commensurate with experience and qualifications. The package includes performance‑based bonuses, health insurance, and a pension scheme aligned with Sudanese labor regulations.
Benefits
- Comprehensive health and dental coverage for employee and dependents.
- Retirement savings plan with company matching.
- Generous paid leave, including annual, sick, and parental leave.
- Professional development budget for conferences, certifications, and training.
- Employee assistance program and wellness initiatives.
Training
- Onboarding program covering Siemens’ digital ecosystem and data governance policies.
- Access to Siemens Learning Hub for continuous upskilling in AI, cloud, and industry‑specific tools.
- Mentorship from senior data architects and global experts.
Working Environment
Siemens offers a collaborative, inclusive workplace that values diversity and innovation. The Nyala office features modern workspaces, high‑speed internet, and flexible working arrangements, including remote work options where feasible. Employees are encouraged to contribute ideas that shape the future of technology and sustainability in Sudan.
Application Process
Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal. Applications will be reviewed by the recruitment team, and shortlisted candidates will be invited for a virtual interview followed by an on‑site assessment at the Nyala office.
Explore more opportunities: https://www.senegaljobsearch.com/
Equal Opportunity Statement
Siemens 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.
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