Data Science Manager Job Vacancy in Algiers, Algeria – Technology
Job Description
Position: Data Science Manager
Company: Microsoft
Location: Algiers, Algeria
Experience: 5+ years in data science, with leadership experience
Education: Master’s degree in Computer Science, Statistics, or related field
Employment Type: Full-time
Industry: Technology
Department: Data & Analytics
Salary: 250,000 – 400,000 SSP per month
Vacancies:1
Company Overview
Microsoft is a global leader in software, services, devices, and solutions that help people and businesses realize their full potential. With a strong presence in Algeria, Microsoft Algeria drives digital transformation across public and private sectors, fostering innovation, cloud adoption, and AI integration. The company’s commitment to sustainability, inclusive growth, and community empowerment makes it an attractive employer for top talent seeking meaningful impact. As part of Microsoft’s mission to empower every person and organization on the planet, the Algiers office collaborates closely with local partners, universities, and government agencies to accelerate the digital economy.
Microsoft’s culture emphasizes continuous learning, diversity, and a growth mindset. Employees enjoy access to cutting‑edge technologies, mentorship programs, and a supportive environment that encourages experimentation and collaboration. By joining Microsoft Algeria, you become part of a vibrant ecosystem that shapes the future of technology in North Africa while contributing to global initiatives.
Job Overview
The Data Science Manager will lead a high‑performing team of data scientists, analysts, and engineers to develop advanced analytics solutions that drive strategic decisions for Microsoft’s regional customers. This role involves translating business challenges into data‑driven insights, building predictive models, and deploying AI solutions at scale. The manager will collaborate with product, engineering, and sales teams to ensure that data initiatives align with market needs and Microsoft’s broader vision for AI‑enabled services.
As a senior leader, you will be responsible for setting the data science roadmap, fostering a culture of innovation, and ensuring the delivery of high‑quality analytical products. You will also act as a mentor, championing best practices in data governance, model interpretability, and ethical AI. This position offers a unique opportunity to influence technology adoption across Algeria and the wider MENA region, making a tangible impact on businesses and communities.
Key Responsibilities
- Define and execute the data science strategy aligned with Microsoft’s regional objectives.
- Lead, mentor, and grow a multidisciplinary team of data professionals.
- Design, develop, and operationalize predictive models, recommendation engines, and AI solutions.
- Collaborate with product managers and engineers to integrate analytics into Microsoft cloud services.
- Ensure data quality, governance, and compliance with local regulations.
- Present insights and recommendations to senior leadership and key stakeholders.
- Stay abreast of emerging AI technologies and drive their adoption within the organization.
Required Skills
- Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn).
- Proficiency in programming languages such as Python, R, and SQL.
- Strong knowledge of cloud platforms, especially Microsoft Azure.
- Experience with big data technologies (Spark, Hadoop, Databricks).
- Excellent communication and storytelling abilities.
- Leadership experience managing cross‑functional data teams.
- Understanding of ethical AI principles and data privacy laws.
Education
A Master’s degree or higher in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline is required. Advanced certifications in Azure AI, Data Science, or related fields are highly desirable.
Experience
Minimum of five years of hands‑on data science experience, with at least two years in a managerial or lead role. Proven track record of delivering production‑grade AI solutions in a commercial environment is essential.
Salary
The competitive salary range for this role is 250,000 – 400,000 SSP per month, complemented by performance‑based bonuses, stock options, and comprehensive benefits.
Benefits
- Health and dental insurance coverage.
- Generous paid time off and holidays.
- Professional development stipend and certification support.
- Employee assistance program and wellness initiatives.
- Access to Microsoft’s global learning platforms.
Training
- Onboarding program focused on Microsoft Azure services and AI ethics.
- Continuous learning workshops on advanced machine learning techniques.
- Leadership development courses tailored for senior managers.
Working Environment
Microsoft Algeria offers a modern, collaborative workspace located in the heart of Algiers, equipped with state‑of‑the‑art technology, flexible work arrangements, and a vibrant community of innovators. The office encourages knowledge sharing through regular hackathons, tech talks, and cross‑team collaborations.
Application Process
Interested candidates should submit their resume and a cover letter through the Microsoft Careers portal. The selection process includes an initial screening, technical assessment, and a series of interviews with the hiring manager and senior leadership. Successful applicants will receive an offer within two weeks of the final interview.
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, sexual orientation, national origin, disability, or veteran status.
Explore this exciting Data Science Manager role and join a team that is shaping the future of technology in Algeria. This is a prime example of Algeria Jobs that combine innovation, impact, and career growth. Apply today to become part of a global leader that values your expertise and ambition.
