[Hiring] Senior Data Science Engineer @Bonapolia

Role Description

A global mobility and urban services platform that allows users to book rides or other services and negotiate the fare directly with the service provider. It offers a variety of services including ride-hailing, intercity travel, delivery, and task assistance, operating globally across multiple cities and countries.

Qualifications

• 5+ years of professional experience in a Data Science or Machine Learning role.
• Previous software engineering experience is preferable.
• Academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline is a plus.
• Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Deep expertise in classic machine learning and deep learning techniques.
• 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, such as Computer Vision (CV) or Natural Language Processing (NLP).
• Strong understanding of software system design principles.
• 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.
• Russian language is a must.

Requirements

• Highly proactive – ability to figure out who to reach out to and how to get things done independently.
• Stakeholder management – comfortable interacting with various stakeholders, from senior developers to product managers.
• Curious mindset – challenges existing processes and looks for continuous improvement.
• Strong communication – able to have project-related conversations with product managers and other team members.
• Time management – organized and reliable.

Responsibilities and Tasks

• 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.

Technology Stack

• Python
• Pandas/NumPy/Scikit-learn
• Computer Vision (CV)
• Natural Language Processing (NLP)

Ready to Join?

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