Data Scientist

DFSAfrica is seeking a Data Scientist to join our Connective the Dots Initiative (CDI) and Africa to the World (A2W) teams, working on advanced algorithms that automate inventory management for life‑saving medical products.

• Work with the product and research teams, and academic partners, to implement sophisticated models on big data.
• Analyze large data sets from the product catalog, including prices, promotions, and inventory, and evaluate their impact on millions of dollars worth of inventory.
• Conduct all phases of research projects: define research questions, gather data, build and evaluate competing models, and communicate the results.
• Provide data‑driven, business‑relevant recommendations to stakeholders.
• Formalize model assumptions, detect and explain outliers, and propose fixes.
• Use Python, R, Scala, or similar languages to build statistical and machine‑learning models.
• Communicate findings verbally and in writing to audiences of varying technical levels.

• Master’s or PhD in Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics.
• 3+ years of experience in an analytical role involving data extraction, statistical modeling, and communication.
• 3+ years of experience with data querying languages (e.g., SQL, Hadoop/Hive).
  
  Experience with Mongo
  
  DB, MySQL, or similar databases is preferred.
• Fluency in a scripting or computing language such as Python, Scala, C++, or Java.
• Experience processing, filtering, and presenting large datasets (millions to billions of rows) from product or business functions.
• Hands‑on experience with machine‑learning/deep‑learning techniques for real‑world problems.
• Natural curiosity, passion for solving real‑world problems, and ability to work in a dynamic environment.

Mid‑Senior level.

Full‑time.

Engineering and Information Technology.