Senior Data Scientist

7w1 month ago

inDrive

CY · Full-time · €48,000 – €72,000

About this role

We are looking for a Senior Data Scientist to join our GeoData team. The role centers on driving architectural decisions while ensuring high performance and reliability of machine learning systems.

Day-to-day work covers the full machine learning model lifecycle from initial research and hypothesis testing to production deployment and maintenance. This includes designing scalable systems with data analysis, annotation, and processing pipelines.

You will work closely with product and backend teams to translate business goals into data science problems and integrate models with existing infrastructure. Monitoring deployed models for issues such as concept drift forms a core part of maintaining consistent performance.

The position supports team growth through mentorship and onboarding programs while driving continuous improvement via automation and innovative solutions that deliver measurable business impact.

Requirements

Previous experience in a data science or machine learning role
Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch)
Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields
Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment
Proven experience with event systems, deployment environments, and maintaining production services
Familiarity with technologies for streaming, batch, and async data processing
Strong understanding of software system design principles and the ability to contribute to architectural discussions
Experience in experimental design to validate hypotheses and measure the effectiveness of solutions

Responsibilities

Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance
Translate complex business goals into well-defined data science problems and quantifiable metrics
Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines
Contribute to the overall 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 to ensure consistent performance
Support the development and growth of other team members through mentorship and participation in onboarding programs
Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact

Benefits

Stable salary, official employment
Health insurance
Remote work and flexible schedule
Access to professional counseling services including psychological, financial, and legal support
Diverse internal training programs
Partially or fully paid additional training courses
All necessary work equipment