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!