Egypt Job Openings

FlapKap

Senior Data Scientist

Maadi Cornish

FULL TIME

September 16, 2024

What is Flap Kap?
We are the financial growth partner for the digitally-native businesses in the Middle East and Africa. We support online businesses to overcome their cash constraints by financing their working capital and we ensure their growth without losing equity. We also give them insights on their media spend to maximize their revenues and profits.

Why Flap Kap?
Flap Kap is fast, smart, collaborative and first a kind startup that aims to disrupt the financial industry in MEA Flap Kap is backed by QED, BECO, A15, , Pact VC, Outliers, and Nclude with a total financing of $38.8m USD. Flap Kap is a safe environment with a welcoming atmosphere to creativity and innovation Flap Kap is dynamic and progressive. Everyday there are new challenges and significant achievements that make everyone charged, excited and proud to belong.

What is this role?
We are looking for a talented and experienced Data Scientist to join our team at Flap Kap. As a Data Scientist, you will be responsible for developing and implementing data-driven solutions to optimize our business operations, improve customer experience, and drive overall growth.

What will you do?
  • Use statistical analysis and machine learning techniques to analyze large datasets and extract insights
  • Design and develop predictive models to forecast key business metrics
  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions
  • Communicate findings and recommendations to stakeholders in a clear and concise manner as well as providing user friendly dashboards
  • Stay up-to-date with the latest techniques and tools in data science and applied analytics
Requirements
What skills do you need?
  • Advanced degree in a quantitative field such as Statistics, Mathematics, or Computer Science
  • Experience working with different datasets and performing statistical analysis
  • Proficiency in Python for data manipulation and modeling
  • Strong knowledge of applying machine learning algorithms and techniques
  • Ability to work in a fast-paced, collaborative environment
  • Min 2 years of working experience
Benefits

  • Competitive Salaries in USD
  • Hybrid working environment (2 days from home / 3 days from the office in Maadi)
  • Paid time off
  • Healthcare coverage
  • Highly collaborative team environment that will support your professional and personal growth
  • Culture of learning and innovation
  • Office located at Maadi, Cairo
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