[Hiring] Middle Data Science Engineer @Bonapolia

Role Description

A global mobility and urban services platform that enables users to book rides and services while negotiating fares directly with service providers. The platform offers ride-hailing, intercity travel, delivery, and task assistance, operating across multiple cities in many countries.

Qualifications

• 3+ years of experience in the field with prior software engineering background
• Strong proficiency in Python and data processing frameworks for streaming, batch, and asynchronous systems
• Solid foundation in classical Machine Learning, deep learning, and advanced mathematics
• Experience with MLOps tools and ML lifecycle management
• Backend systems and infrastructure experience with willingness to learn additional languages such as Golang
• Ability to design systems using standard design patterns and architectural tools
• Experience in experiment design and validation of data and results credibility
• Understanding of business value delivery in technical solutions
• Strong problem-solving skills with analytical reasoning
• Excellent communication and collaboration abilities with stakeholder alignment skills
• Commitment to continuous self-development and knowledge sharing
• Russian language is a must

Requirements

• Proactive mindset with strong initiative and ability to independently identify stakeholders and execution paths
• Stakeholder management across technical and product teams
• Curiosity and continuous improvement orientation
• Strong communication skills for cross-functional collaboration
• Effective time management and organizational reliability

Responsibilities and Tasks

• Develop, deploy, and maintain Machine Learning models and systems
• Perform data analysis, preparation, and processing for ML workflows
• Contribute to ML system design, including data annotation and processing pipelines
• Follow security guidelines and identify potential risks in solutions
• Collaborate on design reviews to ensure robustness and reusability
• Support engineering delivery processes and resolve issues
• Ensure correct deployment and stable operation of features
• Create and maintain documentation for ML models and processes
• Monitor deployed solutions and ensure performance standards are met
• Promote reuse of internal technologies and solutions

Technology Stack

• Python for streaming, batch, and asynchronous data
• MLOps tools

Benefits

• Full-time employment
• Working time zone: CET
• Start: ASAP
• Planned work duration: 6 months

Ready to Join?

We look forward to receiving your application and welcoming you to our team!