Senior Data Science Engineer

🧠 Tech Level: Senior

🗣 Language Proficiency: Upper-Intermediate

👥 FTE: 1

🧾 Employment type: Full time

🌍 Candidate Location: Poland – preferred, Europe – possible

🕐 Working Time Zone: CET

🚀 Start: ASAP

🧭 Planned Work Duration: 6 months

👥 Customer 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.

🧩 Project Description:

Incidents detection, image/audio analysis.

⚙️ Project Phase: New phase of the project

🤝 Soft Skills:

• 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.

💡 Hard Skills / Must Have:

• 5+ years of professional experience in a Data Science or Machine Learning role. Previous software engineering experience is preferrable. 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).

• 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, such as Computer Vision (CV) or Natural Language Processing (NLP).

• 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.

• Russian language is a must.

📌 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, CV, NLP

📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!