hubQuest
Távmunka
2.6M – 3.2M HUF vállalkozói havonta+ÁFA
Elvárások
- Data science
- Machine learning
- Python
- PySpark
- Statistics
- Azure
- Databricks
- MLOps
- Lengyel (C1)
- Angol (C1)
Előnyt jelentő készségek
- Terraform
- dbt
- Deep learning
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
What we expect
- 5+ years of professional experience in Data Science or ML Engineering, including production deployments
- MSc or PhD in Computer Science, Statistics, Mathematics, Physics, or related technical field
- Strong Python programming skills, including software engineering practices (OOP, modular code design, testing)
- Solid experience with ML frameworks and NumFOCUS stack: pandas, scikit-learn, SciPy, Matplotlib, NumPy
- Hands-on experience with PySpark and large-scale data processing
- Familiarity with Azure cloud ecosystem (Databricks, ML Studio, Data Factory, Azure DevOps)
- Understanding of CI/CD and MLOps pipelines, containerization (Docker, Kubernetes), and model deployment
- Experience designing robust validation and monitoring strategies for ML models in production
- Strong analytical mindset, excellent problem-solving skills, and the ability to think critically about model behavior
- Fluency in English (spoken and written), as you’ll collaborate globally
Nice to have
- Experience with Infrastructure as Code (Terraform)
- Familiarity with DBT for data transformation
- Knowledge of deep learning frameworks (TensorFlow, PyTorch)
- Experience working in agile, cross-functional environments
- Exposure to multi-tenant or global-scale data systems
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
We are a team of tech and data enthusiasts on a mission to bring together the best minds in IT and analytics. Our goal? To build cutting-edge analytical hubs that empower our partners to become truly data-driven organizations.
We are currently looking for a Senior Data Scientist to lead the design, development, and deployment of advanced analytical solutions within the Global Analytics Unit — a centralized, global team driving smart data products across all business areas.
This is a high-impact role for someone who thrives on end-to-end ownership: from exploratory data analysis and model design, through refactoring and stability testing, to production deployment and performance monitoring.
Why join us
If you’re looking for an opportunity to:
- Tackle complex, real-world business challenges using advanced analytics and machine learning
- Build and deploy production-grade models that shape decisions across global markets
- Work with an exceptional international team of Data Scientists, ML Engineers, and Data Engineers
- Influence architectural and methodological decisions in a rapidly growing global analytics organization
- Operate in an environment that values autonomy, innovation, and technical excellence
…this might be the perfect fit for you.
You’ll also enjoy:
- Flexible working hours and remote/hybrid work model
- Private medical care and Multisport card
- Access to online learning platforms, certifications, and global knowledge exchange
- A relaxed, non-corporate atmosphere with genuine respect for expertise and ownership
- A modern office in central Warsaw with great transport links
As a Senior Data Scientist, you will take ownership of developing and productionizing advanced data science models and services. Your work will go far beyond notebooks — you’ll help design stable, reproducible, and automated ML pipelines.
In short
We’re looking for a Senior Data Scientist who’s not just great at modeling — but who writes clean, production-ready Python, builds pipelines that last, and obsesses over model robustness, automation, and stability.
You’ll join a team where experimentation meets engineering — and where your models will directly shape global business decisions.
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- Lead end-to-end data science projects, from problem framing and data exploration to deployment and monitoring
- Develop, refactor, and productionize robust data preprocessing pipelines for increased stability and scalability
- Build and maintain reusable helper functions for hyperparameter optimization, feature selection, and model evaluation
- Improve model accuracy and diagnostics using weighted R², adjusted R², Xi correlation, RMSE, and MAE metrics
- Design and implement comprehensive model stability testing frameworks, including:
- Automate baseline validation and implement standardized approaches to benchmark model performance
- Work closely with Data Engineers and MLOps Specialists to deploy models into production using Azure-based infrastructure
- Refactor and optimize data pipelines and REST services to ensure scalability and low-latency performance
- Collaborate with business stakeholders to translate analytical insights into actionable recommendations
mutass kevesebbet
Specifikációk
- Online állásinterjú
- Toborzás nyelvei: angol&lengyel
- Azonnali kezdés
- Távmunka
- Rugalmas munkaidő
- Nem jár utazással
- Főleg új funkciók
Biztosított eszközök
- Apple
- Windows
- Számítógép: Notebook
- as many as you need 🙂
Metodológia
- Agile managementScrum, Agile
- Issue tracking toolJira
- Knowledge repository
- Code reviews
- Version control system
- Cloud infrastructureAzure
- Munkaeszközök kiválasztásának lehetősége
Irodán belüli juttatások
- Ingyenes kávé
- Kerékpártároló
- Ingyenes italok
- Belső képzések
- Belső hack napok
- Modern iroda
- Nincs dress code
Extrák
- Sportcsomag
- Magánegészségügyi ellátás
- Képzési költségvetés
- Kis létszámú csapat
- Nemzetközi projektek
