Data Scientist Job Vacancy in Mbalmayo, Cameroon – Financial Services & Data Analytics

Analytics Engineer
Mbalmayo
November 10, 2026
Full Time
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Job Description

Position: Data Scientist

Company: Amazon Web Services (AWS)

Location: Mbalmayo, Cameroon

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Financial Services & Data Analytics

Department: Data Science & Analytics

Salary: 1,200,000 – 2,000,000 SSP per month

Vacancies:1

Company Overview

Amazon Web Services (AWS) is a global leader in cloud computing, offering a broad set of on‑demand services such as compute power, storage, and advanced analytics. In Cameroon, AWS supports a growing ecosystem of startups, financial institutions, and government agencies, enabling digital transformation across sectors. With a regional data center in West Africa and a local partnership network, AWS delivers secure, scalable, and cost‑effective solutions that empower businesses to innovate faster. As part of its commitment to the African market, AWS invests in talent development, community outreach, and sustainable technology initiatives, making it an attractive employer for ambitious professionals seeking to shape the future of data‑driven finance. AWS’s presence contributes to the growing landscape of Cameroon Jobs and offers exciting Career Opportunities in Cameroon, supporting Employment in Cameroon and demonstrating Hiring in Cameroon across the region.

Job Overview

The Data Scientist will join AWS’s Financial Services & Data Analytics team in Mbalmayo, focusing on building predictive models, risk assessment tools, and customer insight solutions for banking partners. This role blends statistical expertise with machine‑learning techniques to drive actionable insights that improve financial products, fraud detection, and operational efficiency. The successful candidate will collaborate with data engineers, product managers, and client stakeholders to translate business challenges into scalable analytical solutions. Learn more about AWS career opportunities at Cameroon Job Search.

Key Responsibilities

  • Design and implement machine‑learning models for credit scoring, churn prediction, and fraud detection.
  • Analyze large financial datasets to uncover trends, patterns, and opportunities for product improvement.
  • Collaborate with cross‑functional teams to define data requirements and deliver analytical dashboards.
  • Validate model performance, conduct A/B testing, and iterate based on feedback.
  • Document methodologies, code, and findings to ensure reproducibility and compliance.
  • Stay current with emerging data‑science techniques and financial regulations.

Required Skills

  • Proficiency in Python or R, with experience in libraries such as scikit‑learn, TensorFlow, or PyTorch.
  • Strong knowledge of statistical modeling, time‑series analysis, and predictive analytics.
  • Experience working with SQL and big‑data platforms like Spark or Redshift.
  • Understanding of financial services concepts, risk metrics, and regulatory compliance.
  • Excellent problem‑solving abilities and communication skills for stakeholder engagement.
  • Ability to work independently and in a collaborative, fast‑paced environment.

Education

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

Experience

Applicants should have 3–5 years of professional experience in data science, preferably within the financial services sector, and a proven track record of delivering production‑grade models.

Salary

The position offers a competitive salary ranging from 1,200,000 to 2,000,000 SSP per month, commensurate with experience and qualifications.

Benefits

  • Health insurance coverage for employee and dependents.
  • Performance‑based bonuses and stock‑option eligibility.
  • Professional development budget and certification support.
  • Flexible working hours and remote‑work options.
  • Access to AWS training labs and global tech conferences.

Training

  • Onboarding program covering AWS services, security, and compliance.
  • Advanced machine‑learning workshops led by senior data scientists.
  • Financial services domain training to deepen industry expertise.
  • Continuous learning resources through AWS Skill Builder platform.

Working Environment

AWS’s Mbalmayo office provides a modern, collaborative workspace equipped with high‑speed internet, ergonomic furniture, and breakout areas for innovation. The culture emphasizes diversity, inclusion, and a growth mindset, encouraging employees to share ideas and take ownership of projects. Regular team events, hackathons, and community outreach programs foster a vibrant atmosphere where technical excellence meets social impact.

Application Process

Interested candidates should submit an online application through the AWS Careers portal, attaching a detailed resume and a cover letter highlighting relevant experience. Selected applicants will undergo a technical assessment, followed by virtual interviews with the hiring manager and team members. Successful candidates will receive an offer letter outlining compensation, benefits, and start‑date details.

Equal Opportunity Statement

AWS 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 veteran status.