Senior Data Scientist
inDrive
Data Science
Poland
Posted on Apr 23, 2026
We are looking for a Senior Data Scientist to join our GeoData team. You will drive architectural decisions, ensure high performance and reliability, mentor engineers, and work closely with product and backend teams to deliver scalable solutions from discovery to release.
- Department
- Geo Cluster
- Employment Type
- Full Time
- Location
- Kazakhstan
- Address
- Almaty, Almaty Special District
- Workplace type
- Hybrid
Key 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
- Communicate complex technical concepts and findings clearly and concisely to both technical and non-technical stakeholders
Skills, Knowledge and Expertise
- Previous experience in a data science or machine learning role
- An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus
- 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. Proficiency in at least one specialized ML domain (e.g., NLP, Computer Vision, Tabular ML, Graph Neural Networks)
- 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
- A solid grasp of security, risk, and control concepts in a production environment
Conditions & Benefits
- Stable salary, official employment.
- Health insurance.
- Remote work and flexible schedule.
- Access to professional counseling services including psychological, financial, and legal support.
- Discount club membership.
- Diverse internal training programs.
- Partially or fully paid additional training courses.
- All necessary work equipment.
About inDrive
inDrive is a global tech company on a mission to challenge injustice. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 360M installs across 48 countries.
Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. Our goal is to positively impact 1 billion lives by 2030. Through inVision, our non-profit arm, we support education, entrepreneurship, and equality in underserved communities.
Ready to ignite your inner drive?
Our Hiring Process
Stage 1:
Applied
Stage 2:
Interview with Talent Acquisition
Stage 3:
Technical Interview
Stage 4:
Hiring Manager Interview
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