Data Scientist - Addis Ababa

TradeEthiopia Group

Posted: Oct 08, 2025

Full time

Career Level: Junior Level(1-3 years)
Salary:
Location: Addis Ababa
Deadline: Nov 09, 2025
Expired

Job Opportunity: Data Scientist position available at TradeEthiopia Group in Addis Ababa. IT, Computer Science and Software Engineering jobs in Ethiopia are in high demand. Apply now through GeezJobs - Ethiopia's leading job portal.

Job Vacancy: Data Scientist

Location: Addis Ababa, Ethiopia (On-site)
Company: TradeEthiopia Group
Application Deadline: Novemeber 30

Position: Data Scientist
About TradeEthiopia

TradeEthiopia is a fast-growing B2B e-commerce, trade facilitation, and business innovation ecosystem with operations across Ethiopia, China, and international markets. Through our platforms — including TradeEthiopia Marketplace, TESBINN Business School, Ethio-International Expo, TradeEthiopia Business Media, and Enisra Job Platform — we connect exporters, buyers, SMEs, and investors across Africa and the world.

As part of our strategic transformation, we are strengthening our in-house technology capacity, developing advanced systems in data analytics, AI/ML, and trade matchmaking to support digital transformation in Ethiopia’s trade sector.

We are seeking a skilled and innovative Data Scientist who will work closely with our IT Department to build TradeEthiopia’s internal data systems, AI-powered tools, and intelligent matchmaking platforms. This role will directly address gaps in system development and enable smarter, data-driven decision-making across our ecosystem.
 

Key Responsibilities

  • Collaborate with IT developers to design and implement data models, databases, and machine learning algorithms tailored to TradeEthiopia’s platforms (B2B, Expo, Training, CRM, etc.).
  • Collect, clean, and structure data from multiple internal and external sources (e.g., buyer–supplier databases, CRM systems, expo registrations, training participants).
  • Develop AI/ML tools for buyer–supplier matchmaking, lead scoring, trend analysis, and fraud prevention.
  • Support building dashboards and analytics tools for Sales, Customer Success, and Management teams.
  • Identify and address system weaknesses, data gaps, and workflow inefficiencies in collaboration with IT.
  • Work with stakeholders to define data requirements and translate business problems into analytical solutions.
  • Conduct exploratory data analysis to guide platform design, user engagement, and operational improvements.
  • Support the development of internal APIs and data pipelines for real-time analytics.

Why Join Us

  • Opportunity to shape the future of digital trade in Ethiopia.
  • Work in a multi-departmental, international ecosystem bridging Africa, China, and global markets.
  • Collaborate with experienced IT, trade, and business professionals.
  • Competitive salary and growth opportunities in a fast-scaling company.
  • Strategic role with real impact on the development of in-house technology and AI platforms.

Qualifications & Skills

  • BSc / MSc in Data Science, Computer Science, AI/ML, or a related field.
  • 2+ years of hands-on experience in data analysis, machine learning, or system development (experience with e-commerce, logistics, or trade data is a plus).
  • Proficiency in Python, node, SQL, and common data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Experience working with databases (PostgreSQL, MySQL) and cloud platforms.
  • Strong problem-solving and communication skills; able to work cross-functionally with developers and business teams.
  • Experience with AI-powered tools, dashboards (e.g., Power BI, Tableau), or recommendation systems is a plus.
  • Excellent English communication; Amharic proficiency is preferred.

How To Apply

Interested candidates should send their CV, Cover Letter, and portfolio or project links to:
Job@ensira.com
Deadline: Novemeber 30

Please use the subject line:
Application – Data Scientist – [Your Full Name]
About Us

Visit www.tradethiopia.com to learn more about our platforms and vision.

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