Senior Data Scientist

inDrive
Cairo
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Mentorship","Problem-solving","Continuous improvement"]

Architect, build, and deploy production-grade NLP models for automating customer support operations. Own the full ML lifecycle from hypothesis testing and experimental design through scalable data/annotation pipelines, integration with backend services, and ongoing monitoring for issues like concept drift. Translate business goals into measurable metrics, communicate results to technical and non-technical stakeholders, and support the team through mentorship and continuous improvement.

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FursaFursa
inDrive
inDrive
3 days ago

Senior Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Architect, build, and deploy production-grade NLP models for automating customer support operations. Own the full ML lifecycle from hypothesis testing and experimental design through scalable data/annotation pipelines, integration with backend services, and ongoing monitoring for issues like concept drift. Translate business goals into measurable metrics, communicate results to technical and non-technical stakeholders, and support the team through mentorship and continuous improvement.
Location: Cairo
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the full machine learning lifecycle from research and hypothesis testing to production deployment and maintenance.
  • •Translate business goals into well-defined data science problems and quantifiable metrics.
  • •Design and build scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines.
  • •Integrate ML models with existing backend services, contribute to system architecture, and ensure production reliability.
  • •Monitor and maintain deployed models, proactively addressing issues like concept drift, and support team growth through mentorship.

Pay and Benefits

Perks:Learning BudgetVolunteering

Key Requirements

  • •5 years of professional experience in data science or machine learning with deep focus on NLP.
  • •Expert-level proficiency in Python and core data science libraries such as Pandas, NumPy, and scikit-learn.
  • •Deep expertise in machine learning and deep learning with strong advanced math fundamentals.
  • •Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in production.
  • •Proven experience with streaming/batch/async data processing and maintaining production services.
Experience:5+ years
Skills:CommunicationMentorshipProblem-solvingContinuous improvement
Tech Stack:PythonPandasNumPyScikit-learnMLOpsNLP

Company Brief

inDrive
A ride-hailing and mobility platform that lets passengers and drivers negotiate fares directly in real time. It also offers intercity travel, courier, and delivery services in multiple countries.
Industry: Mobility Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2013
WebsiteLinkedIn