Job Description
Position: Data Science Lead
Company: Google
Location: Bosaso, Somalia
Experience: 5+ years in data science, machine learning, analytics
Education: Master’s degree in Computer Science, Data Science, Statistics or related field
Employment Type: Full-time
Industry: Technology – Data Science & Analytics
Department: Data & Analytics
Salary: SSP 8,000,000 – 12,000,000 per month
Vacancies:1
Company Overview
Google is a global technology leader renowned for its innovative products and services that shape the digital world. With a commitment to empowering communities, Google has expanded its presence across Africa, fostering digital transformation and inclusive growth. In Somalia, Google partners with local enterprises, educational institutions, and government agencies to accelerate connectivity, develop talent, and support sustainable development. As part of its mission to organize the world’s information and make it universally accessible, Google offers career opportunities that blend cutting‑edge technology with social impact. This role contributes to Google’s vision of creating economic opportunities and advancing the digital ecosystem in Somalia, making it an ideal platform for professionals seeking to drive change while advancing their careers. Keywords: Somalia Jobs, Jobs in Somalia, Career Opportunities in Somalia.
Job Overview
The Data Science Lead will spearhead advanced analytics initiatives, turning complex data into actionable insights that drive strategic decisions for Google’s regional operations. Reporting to the Head of Data & Analytics, you will design and implement machine learning models, oversee data pipelines, and collaborate with cross‑functional teams to solve business challenges. This position offers a unique chance to influence product development, market expansion, and community programs across Somalia. For more information, visit Somalia Job Search. Keywords: Job Vacancy in Somalia, Employment in Somalia, Hiring in Somalia.
Key Responsibilities
- Lead the end‑to‑end development of predictive models and analytics solutions aligned with business objectives.
- Design, build, and maintain scalable data pipelines and data warehouses using cloud technologies.
- Collaborate with product, engineering, and marketing teams to translate data insights into actionable strategies.
- Mentor and guide a team of data scientists and analysts, fostering a culture of continuous learning.
- Ensure data quality, governance, and compliance with local regulations.
- Present findings and recommendations to senior leadership and external stakeholders.
- Stay abreast of emerging AI/ML techniques and integrate them into Google’s regional initiatives.
- Drive data‑driven decision‑making across all functional areas to support growth in Somalia.
Required Skills
- Proficiency in Python, R, or Scala for data analysis and model development.
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Strong knowledge of SQL and NoSQL databases, and cloud platforms (Google Cloud Platform preferred).
- Experience with big data tools like Spark, Hadoop, or BigQuery.
- Excellent problem‑solving abilities and a data‑first mindset.
- Effective communication skills to convey complex concepts to non‑technical audiences.
- Leadership experience managing multidisciplinary data teams.
- Understanding of data privacy regulations and ethical AI practices.
Education
A Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field is required. Advanced certifications in machine learning or cloud analytics are a plus.
Experience
Minimum of five years of hands‑on experience in data science, with a proven track record of delivering production‑grade machine learning solutions. Prior experience in emerging markets or the African tech ecosystem is highly valued.
Salary
The competitive salary range for this role is SSP 8,000,000 to SSP 12,000,000 per month, commensurate with experience and expertise.
Benefits
- Comprehensive health and wellness coverage.
- Performance‑based bonuses.
- Professional development stipend.
- Flexible working hours and remote work options.
- Access to Google’s global learning platforms.
- Retirement savings plan.
- Paid parental and family leave.
- Employee assistance programs.
Training
- Onboarding program covering Google’s data infrastructure and security policies.
- Advanced machine learning workshops led by industry experts.
- Leadership development courses for emerging managers.
- Continuous learning credits for certifications and conferences.
- Mentorship pairing with senior data leaders across Google.
Working Environment
Google offers a collaborative, inclusive, and innovative workplace that encourages creativity and autonomy. The Bosaso office provides modern facilities, high‑speed internet, and a vibrant community of tech professionals. Employees benefit from a supportive culture that values diversity, work‑life balance, and social responsibility, aligning with Google’s commitment to making a positive impact in Somalia.
Application Process
Interested candidates should submit their application through the online portal on the Google Careers website. Include a tailored resume, a cover letter highlighting relevant achievements, and a portfolio of data science projects. Applications will be reviewed by the recruitment team, followed by a virtual interview series covering technical, behavioral, and leadership competencies.
Equal Opportunity Statement
Google is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, ethnicity, disability, sexual orientation, or any other protected characteristic.