Data Scientist

inDrive
Almaty
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Mentorship","Communication","Stakeholder management","Continuous improvement"]

Architect, build, deploy, and maintain production-grade NLP models to automate customer support operations. Lead the full ML lifecycle from research and hypothesis testing through scalable deployment, monitoring, and ongoing performance improvements. Translate business goals into measurable data science problems, integrate models with backend services, and collaborate globally while communicating complex findings clearly to technical and non-technical stakeholders.

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FursaFursa
inDrive
inDrive
3 days ago

Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Architect, build, deploy, and maintain production-grade NLP models to automate customer support operations. Lead the full ML lifecycle from research and hypothesis testing through scalable deployment, monitoring, and ongoing performance improvements. Translate business goals into measurable data science problems, integrate models with backend services, and collaborate globally while communicating complex findings clearly to technical and non-technical stakeholders.
Location: Almaty
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the end-to-end machine learning model lifecycle from research and hypothesis testing to production deployment and maintenance.
  • •Translate business goals into well-defined data science problems and measurable metrics.
  • •Design and develop robust, scalable ML systems, including data analysis, annotation, and processing pipelines.
  • •Integrate ML models with existing backend services and infrastructure, and contribute to overall system architecture.
  • •Monitor and maintain deployed models, proactively addressing issues like concept drift to ensure consistent performance.

Pay and Benefits

Perks:Learning ProgramsMentoringLanguage CoursesVolunteering

Key Requirements

  • •5+ years of professional experience in data science or machine learning with a deep focus on NLP.
  • •Expert proficiency in Python and core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
  • •Deep expertise in classic machine learning and deep learning with strong advanced-math foundations.
  • •Experience with ML system design and MLOps practices to build, test, deploy, and monitor models in production.
  • •Strong knowledge of experimental design, and security/risk/control concepts in a production environment.
Experience:5+ yearsNLPMachine learningDeep learningMLOps
Skills:MentorshipCommunicationStakeholder managementContinuous improvement
Tech Stack:PythonPandasNumPyScikit-learnMLOpsStreamingBatch processingAsync processing

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