hubQuest
Távmunka
2.5M – 3.3M HUF vállalkozói havonta+ÁFA
Elvárások
- Data science
- Machine learning
- Python
- Marketing Mix Modeling
- Time Series Analysis
- NumFOCUS
- pandas
- scikit-learn
- SciPy
- NumPy
- Matplotlib
- Lengyel (C1)
- Angol (C1)
Előnyt jelentő készségek
- Azure
- Google Meridian
- LightweightMMM
- Robyn
- Bayesian Modeling
- MCMC
- MLOps
- Kubernetes
- Docker
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
Requirements
- 5+ years of professional experience in Data Science or ML Engineering, including production deployments.
- At least 1 year of experience developing Marketing Mix Models (MMM) or working with Time Series Analysis.
- MSc or PhD in Computer Science, Statistics, Mathematics, Physics, or a related field.
- Strong Python skills and solid software engineering foundations (OOP, modular design, testing).
- Strong experience with ML frameworks and the NumFOCUS ecosystem: pandas, scikit-learn, SciPy, NumPy, Matplotlib.
- Familiarity with cloud computing (Azure experience is a plus).
- Experience designing robust validation and monitoring strategies for production ML models.
- Strong analytical mindset and the ability to think critically about model behavior.
- Fluency in English (spoken and written), as you will collaborate globally.
Nice to have
- Experience with Google Meridian, LightweightMMM, or Robyn.
- Experience with Bayesian modeling.
- Knowledge of MCMC methods.
- Understanding of CI/CD and MLOps pipelines, Docker/Kubernetes, and model deployment practices.
- Experience working in agile, cross-functional environments.
- Exposure to multi-tenant or global-scale data systems.
- Publications, GitHub portfolio, or open-source contributions.
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 is to build cutting-edge analytical hubs that empower our partners to become truly data-driven organizations.
Join one of the largest in-house MMM (Marketing Mix Modeling) teams in the industry, building next-generation analytics solutions at worldwide scale. As part of a flagship initiative within a leading organization operating in over 190 markets, our team is at the forefront of data-driven transformation and has strong visibility across the business.
We are looking for a Senior Data Scientist with MMM expertise to help shape, develop, and deploy impactful analytical solutions as part of the Global Analytics Unit—a central, high-priority function driving innovation across the company.
In this high-impact role, you will own the full data science lifecycle: from exploratory analysis and model development to refactoring, testing, deployment, and performance optimization. You will work alongside talented MMM professionals and make a truly global impact with your work.
If you want to contribute to meaningful, large-scale projects and help our partners make smarter, data-driven decisions—this role is for you.
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 influence decisions across global markets.
- Work in one of the largest and most skilled MMM teams in the industry.
- Join a product-oriented FMCG environment that values innovation and technical excellence.
- Use the latest GenAI tools, including GitHub Copilot, to make your work more efficient
…this role might be the perfect fit.
You will also benefit from:
- Flexible working hours with a hybrid/remote work model.
- Private medical care and a Multisport card.
- Access to online learning platforms, certifications, and global knowledge exchange.
- A relaxed, non-corporate atmosphere with strong respect for expertise and ownership.
- A modern office in central Warsaw with excellent transport links.
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- Lead end-to-end MMM data science projects—from problem framing and data exploration to deployment and ongoing monitoring.
- Develop, refactor, and productionize robust data preprocessing pipelines to ensure stability and scalability.
- Design and integrate new features into our advanced MMM framework to improve performance and analytical capabilities.
- 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.
- Automate baseline validation and implement standardized approaches for benchmarking model performance.
mutasd az összeset (8)
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
