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Data Scientist

AlgoDriven Cairo, Cairo, Egypt

Oct 20
Remote data-scientist Senior (5-10 yrs) Full-time Egypt
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About the role

Design, train, and deploy machine learning models to forecast vehicle prices while maintaining production-grade Python code. Collaborate with cross-functional teams to integrate models into services and ensure high accuracy through rigorous validation.

What they look for

Python Machine Learning Deep Learning Time Series Analysis LLMs SQL Node.js Data Modeling Feature Engineering Backtesting API Integration Forecasting Data Quality Model Deployment AI Research

Requirements

Requires at least 5 years of professional experience as a data scientist with strong proficiency in Python, SQL, and Node.js. Candidates must have a proven track record in building and improving machine learning models, specifically in forecasting.

Full description

About AlgoDriven

AlgoDriven builds AI software for the automotive industry. Our products (EvalExpert, DriveExpert and InspectExpert) help dealer groups, banks and OEMs appraise, inspect and price vehicles across Australia, New Zealand, the Middle East and South East Asia.

The role

You'll own the machine learning models that tell our customers what a used car is worth, today and next month. Working mainly in Python in a small team, you'll take models from idea to production and keep pushing their accuracy, including by putting the latest AI developments to work, from modern deep learning and time series architectures to foundation models and LLMs.

Location: Hybrid, 4 days a week in our Downtown Cairo office and 1 day remote. Full-time.

What you'll do

  • Design, train and deploy machine learning models that predict and forecast vehicle prices
  • Write clean, production-grade Python for modelling, feature engineering and evaluation
  • Track new AI research and tooling, and apply the techniques that measurably improve accuracy
  • Build rigorous validation and backtesting so every improvement is real
  • Work with market data from websites and APIs, including linking duplicate listings across sources
  • Integrate models with our Node.js services and monitor them in production
  • Use SQL to investigate data-quality issues and explain anomalies
  • Explain results clearly to product, commercial and customer teams

What you'll bring

  • 5+ years as an employed data scientist (not counting internships or study)
  • Strong Python, including code you've written and maintained in a production ML system
  • Professional experience building, evaluating and improving machine learning models, including forecasting (prices, demand, sales or similar)
  • A track record of lifting model accuracy through experimentation, and a habit of keeping up with current AI developments
  • Experience collecting data from websites and APIs
  • Professional Node.js experience
  • Strong SQL
  • Clear, professional spoken and written English
  • You enjoy a startup environment with high ownership and few handoffs

Nice to have

  • Deep learning or LLMs used in production
  • Experience with automotive, marketplace or pricing data

Our hiring process

  • Application with short screening questions
  • A ~25-minute AI-led interview you complete at a time that suits you, reviewed by our team
  • An online skills assessment (TestGorilla)
  • A final interview with the hiring manager

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