Data Science Lead Job Vacancy in Dekemhare, Eritrea – Technology

Job Description

Position:Data Science Lead

Company:Microsoft

Location:Dekemhare, Eritrea

Experience:5+ years in data science, machine learning, statistical analysis

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

Employment Type:Full-time

Industry:Technology

Department:Data & Analytics

Salary:150,000 – 250,000 SSP per month

Vacancies:1

Company Overview

Microsoft is a global leader in software, cloud services, and artificial intelligence, dedicated to empowering every person and organization on the planet. With a strong commitment to innovation, Microsoft has expanded its footprint across emerging markets, including strategic initiatives in Africa. The company’s presence in Eritrea reflects its vision to foster digital transformation, support local talent, and create sustainable economic growth. As part of its mission to drive inclusive technology adoption, Microsoft offers a dynamic environment where creativity meets cutting‑edge research, making it an attractive destination for professionals seeking impactful careers. This role contributes directly to Microsoft’s regional data strategy, supporting the broader goal of delivering intelligent solutions that address local challenges while aligning with global standards. By joining Microsoft in Dekemhare, you become part of a forward‑thinking team that values diversity, continuous learning, and community engagement, reinforcing the company’s reputation as a top employer for Eritrea Jobs.

Job Overview

The Data Science Lead will spearhead the design, development, and deployment of advanced analytics and machine learning models that drive business insights for Microsoft’s operations in the Horn of Africa. Reporting to the Regional Head of Data & Analytics, you will collaborate with cross‑functional teams to translate complex data sets into actionable strategies, enhance product performance, and support decision‑making across sales, marketing, and customer experience. This position offers a unique opportunity to shape data‑driven culture in a rapidly growing market, contributing to the broader narrative of Jobs in Eritrea and Career Opportunities in Eritrea. For more information about Microsoft’s commitment to the region, visit https://eritreajobsearch.com/.

Key Responsibilities

• Lead end‑to‑end data science projects, from problem definition to model deployment and monitoring.
• Develop predictive and prescriptive models using machine learning, deep learning, and statistical techniques.
• Collaborate with product, engineering, and business teams to integrate analytics solutions into Microsoft’s cloud and SaaS offerings.
• Mentor junior data scientists and foster a culture of best practices in data handling, model validation, and reproducibility.
• Design and maintain data pipelines, ensuring data quality, security, and compliance with local regulations.
• Present findings and strategic recommendations to senior leadership and external stakeholders.
• Stay abreast of emerging AI technologies and evaluate their applicability to regional challenges.

Required Skills

• Proficiency in Python or R, with extensive experience in libraries such as TensorFlow, PyTorch, scikit‑learn, and pandas.
• Strong knowledge of SQL and NoSQL databases, data warehousing, and big data platforms (e.g., Azure Synapse, Hadoop).
• Expertise in statistical modeling, time‑series analysis, and natural language processing.
• Ability to translate business problems into analytical solutions and communicate results to non‑technical audiences.
• Experience with cloud services (Azure Machine Learning, AWS SageMaker) and containerization (Docker, Kubernetes).
• Excellent problem‑solving mindset, critical thinking, and attention to detail.

Education

A Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related discipline is required. Advanced certifications in machine learning, AI, or cloud platforms are highly desirable and demonstrate a commitment to continuous professional development.

Experience

Applicants must have a minimum of five years of hands‑on experience in data science roles, with a proven track record of delivering production‑grade machine learning models. Experience in emerging markets, particularly within Africa, is a strong advantage, as it showcases adaptability to diverse data environments and resource constraints.

Salary

The compensation package ranges from 150,000 to 250,000 SSP per month, commensurate with experience, expertise, and the strategic impact of the role. In addition to the base salary, performance‑based bonuses and equity incentives may be offered to align personal success with Microsoft’s growth objectives.

Benefits

• Comprehensive health insurance covering medical, dental, and vision care.
• Generous paid time off, including vacation, sick leave, and public holidays.
• Retirement savings plan with employer matching contributions.
• Professional development budget for certifications, conferences, and online courses.
• Access to Microsoft’s global employee assistance programs and wellness initiatives.

Training

• Onboarding program that includes technical bootcamps on Azure AI services.
• Mentorship pairing with senior data scientists across Microsoft’s global network.
• Regular internal workshops on emerging AI research, ethical AI, and responsible data use.
• Opportunities to attend Microsoft Ignite and regional tech summits.

Working Environment

Microsoft’s Dekemhare office offers a collaborative, inclusive, and technology‑rich environment. Employees benefit from flexible working arrangements, state‑of‑the‑art workstations, and access to cloud resources for experimentation. The culture emphasizes teamwork, innovation, and a growth mindset, ensuring that every team member can contribute ideas and see their impact on real‑world solutions.

Application Process

Interested candidates should submit an online application through the Microsoft Careers portal, attaching a detailed resume and a cover letter outlining relevant experience and motivation for the role. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the hiring manager and senior data science leaders. Successful candidates will receive an offer letter outlining compensation, benefits, and start‑date details.

Equal Opportunity Statement

Microsoft 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 or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Our hiring practices reflect our dedication to fostering Employment in Eritrea and Hiring in Eritrea across all levels of the organization.