Data Science Lead Job Vacancy in Freetown, Sierra Leone – Technology

Job Description

Position: Data Science Lead

Company: Andela

Location: Freetown, Sierra Leone

Experience: 5+ 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

Department: Data & Analytics

Salary: SSP 2,500,000 – 4,500,000 per month

Vacancies:1

Company Overview

Andela is a global technology talent accelerator that partners with leading enterprises to build high‑performing engineering teams across Africa. With a strong presence in Sierra Leone, Andela empowers local developers to work on cutting‑edge projects for multinational clients, fostering innovation and economic growth. As part of Andela’s commitment to creating world‑class tech ecosystems, the company invests heavily in community programs, mentorship, and continuous learning, making it a premier destination for ambitious professionals seeking impactful careers. This role contributes directly to Andela’s mission of bridging the talent gap and delivering exceptional data‑driven solutions that drive business success across the continent.

Job Overview

The Data Science Lead will spearhead the design, development, and deployment of advanced analytics and machine learning models that solve complex business challenges for Andela’s clients. Reporting to the Head of Data & Analytics, you will collaborate with cross‑functional teams, including engineering, product, and client success, to translate strategic objectives into actionable data insights. This position offers a unique opportunity to shape Andela’s data strategy in Sierra Leone while working on high‑impact projects that influence decision‑making at a global scale. For more information about Andela’s vision and culture, visit https://sierraleonejobsearch.com/. This role is a cornerstone of our hiring in Sierra Leone and represents a significant career opportunity for data professionals.

Key Responsibilities

• Lead the end‑to‑end lifecycle of data science projects, from problem definition to model deployment and monitoring.
• Develop and implement scalable machine learning pipelines using Python, R, and cloud platforms.
• Collaborate with product managers to identify high‑value analytics use cases that align with client goals.
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and technical excellence.
• Ensure data quality, governance, and compliance with local and international regulations.
• Communicate complex analytical findings to non‑technical stakeholders through clear visualizations and storytelling.
• Stay abreast of emerging technologies and best practices in AI, deep learning, and big data.

Required Skills

• Proficiency in statistical modeling, machine learning algorithms, and data mining techniques.
• Strong programming skills in Python or R, with experience in libraries such as scikit‑learn, TensorFlow, or PyTorch.
• Expertise in SQL and NoSQL databases, data warehousing, and ETL processes.
• Experience with cloud services (AWS, Azure, or Google Cloud) for model deployment and scaling.
• Excellent problem‑solving abilities and a data‑driven mindset.
• Effective communication and presentation skills, capable of translating technical concepts for business audiences.
• Leadership qualities with a track record of managing multidisciplinary teams.

Education

A Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative discipline is required. Relevant certifications in machine learning or cloud platforms are a plus.

Experience

Minimum of five years of professional experience in data science or analytics, with at least two years in a leadership or lead role. Proven experience delivering production‑grade machine learning solutions in a commercial environment is essential.

Salary

The compensation package ranges from SSP 2,500,000 to SSP 4,500,000 per month, commensurate with experience and expertise. Performance‑based bonuses and equity participation may be offered.

Benefits

• Comprehensive health insurance covering medical, dental, and vision.
• Generous paid time off and public holidays.
• Retirement savings plan with employer matching.
• Flexible working hours and remote work options.
• Professional development budget for conferences, courses, and certifications.

Training

• Onboarding program that includes technical bootcamps and company culture immersion.
• Access to Andela’s internal learning platform with curated AI and data science tracks.
• Mentorship from senior data leaders across global offices.
• Opportunities to attend international tech conferences and workshops.

Working Environment

Andela offers a collaborative, inclusive, and innovative workplace where diverse perspectives are celebrated. Our Freetown office features modern workspaces, high‑speed internet, and a vibrant community of engineers and data professionals. Employees enjoy a balance of focused individual work and dynamic team interactions, fostering creativity and high performance.

Application Process

Interested candidates should submit an online application through our career portal, attaching a detailed resume and a cover letter highlighting relevant achievements. Selected applicants will undergo a technical assessment, followed by virtual interviews with the hiring panel. Successful candidates will receive an offer within two weeks of the final interview.

Equal Opportunity Statement

Andela is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, sexual orientation, or any other protected characteristic. Our hiring practices reflect our dedication to fairness and meritocracy in Sierra Leone.