inDrive

16 hours ago

Senior Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Join the AI Research & Growth Team to lead the full machine learning lifecycle—from research and hypothesis testing through production deployment, monitoring, and maintenance. Translate business goals into measurable data science problems, design scalable ML systems (including data pipelines), and integrate models with backend services. You’ll proactively manage issues like concept drift, mentor teammates, and communicate results clearly to both technical and non-technical stakeholders.

Location: Cyprus

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead the full machine learning model lifecycle from research and hypothesis testing through production deployment and maintenance.
•Translate complex business goals into well-defined data science problems and quantifiable metrics.
•Design and develop robust, scalable ML systems from scratch, including data analysis, annotation, and processing pipelines.
•Contribute to system architecture and integrate ML models with existing backend services and infrastructure.
•Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift; communicate findings to stakeholders.

Pay and Benefits

Salary: EUR 59,200 annually

Key Requirements

•Previous experience in a data science or machine learning role.
•Expert-level proficiency in Python and core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch).
•Deep expertise in classic machine learning and deep learning with strong advanced math foundations.
•Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in production.
•Familiarity with streaming, batch, and async data processing, plus proficiency in at least one ML domain (e.g., NLP, Computer Vision, Tabular ML, Graph Neural Networks).

Experience:Machine learningMLOpsProduction ML

Skills:CommunicationMentorshipContinuous improvementProblem-solving

Tech Stack:PythonPandasNumPyScikit-learnPyTorch

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

Website LinkedIn

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inDrive

16 hours ago

Senior Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Cyprus

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead the full machine learning model lifecycle from research and hypothesis testing through production deployment and maintenance.
•Translate complex business goals into well-defined data science problems and quantifiable metrics.
•Design and develop robust, scalable ML systems from scratch, including data analysis, annotation, and processing pipelines.
•Contribute to system architecture and integrate ML models with existing backend services and infrastructure.
•Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift; communicate findings to stakeholders.

Pay and Benefits

Salary: EUR 59,200 annually

Key Requirements

•Previous experience in a data science or machine learning role.
•Expert-level proficiency in Python and core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch).
•Deep expertise in classic machine learning and deep learning with strong advanced math foundations.
•Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in production.
•Familiarity with streaming, batch, and async data processing, plus proficiency in at least one ML domain (e.g., NLP, Computer Vision, Tabular ML, Graph Neural Networks).

Experience:Machine learningMLOpsProduction ML

Skills:CommunicationMentorshipContinuous improvementProblem-solving

Tech Stack:PythonPandasNumPyScikit-learnPyTorch

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

Website LinkedIn