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Forecasting Model Developer
7 dni temu
About the Opportunity
We're seeking a skilled Data Scientist to lead our forecasting efforts and drive business growth through accurate predictions and informed decision-making.
In this role, you will develop and refine predictive models, integrate new technologies and algorithms, and collaborate with cross-functional teams to enhance forecast accuracy and effectiveness.
- Develop and refine predictive models using advanced statistical techniques and machine learning algorithms
- Integrate new technologies and algorithms to improve forecasting accuracy and efficiency
- Collaborate with cross-functional teams to gather and incorporate additional data sources and expertise
- Assess and refine forecasting models through backtesting and performance evaluation
- Explore new methodologies, tools, and technologies in time series forecasting and predictive analytics
- Propose and implement improvements based on cutting-edge advancements in AI and forecasting algorithms
- Work closely with the Cash Planning department to enhance forecast accuracy and effectiveness
- Integrate forecasting models into business workflows and monitor performance in production
- Create dashboards and presentations to communicate insights and model performance.
Requirements
What You'll need:
- Residing in or near Warsaw
- Fluency in both Polish and English
- Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Econometrics, Computer Science)
- At least 3 years of experience in a relevant role
- Proficiency in R (tidyverse, tidymodels) and/or Python (pandas, statsmodels, prophet, sklearn)
- Expertise in Time Series Forecasting
- Strong background in Machine Learning, Predictive Modeling, and Statistics
- Experience with SQL for data querying and manipulation
- Familiarity with Linux and Git
- Strong skills in data visualization and storytelling
- Ability to solve business problems using Data Exploration and Machine Learning
- Excellent communication skills to collaborate with both technical and non-technical stakeholders
- Ability to work independently and proactively.
Nice to have:
- Masters degree in a relevant field
- Familiarity with the latest technologies and frameworks in Data Science, AI, and Forecasting
- Expertise Deep Learning (PyTorch, Keras) for advanced forecasting techniques
- Experience in both Business Analysis and Data Science, with a focus on time series forecasting
- Experience with Microsoft Azure services and Microsoft Fabric
- Knowledge of R Shiny and/or Streamlit for developing interactive dashboards.
About Euronet – EFT Segment
We're a leading financial organization specializing in ATM services across Europe and beyond, where your work directly influences business decisions and optimizes operations.
The Benefits
We offer:
- Exciting and high-impact role in a leading financial organization
- Opportunities for professional growth and continuous learning
- Stable employment based on contract of employment
- Hybrid work model – 2 days remote +24 additional occasional remote days per year
- Great office location close to the center – 2 minutes from Metro Dw. Gdański
- Creative work tax deduction
- Access to online courses and conferences (e.g., Udemy, Data Science Summit)
- Paid referral system
- Multisport card
- Comprehensive healthcare insurance (Luxmed)
- Group insurance coverage