Requirements

Expected technologies

Linux

Git

R

Python

SQL

Operating system

Linux

Our requirements

• 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

Optional

• Master’s 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

Your responsibilities

• 📈Forecasting – developing and refining predictive models to enhance operational efficiency
• 🔍Time Series Analysis – implementing and improving methods for handling time-dependent data
• ⚠️ Data Collection & Integration – gathering and incorporating additional internal and external data sources for better forecasting accuracy
• 📊 Model Validation – assessing and refining forecasting models through backtesting and performance evaluation
• 🧪 Technical Research – exploring new methodologies, tools, and technologies in time series forecasting and predictive analytics
• 💡 Innovation & Optimization – proposing and implementing improvements based on cutting-edge advancements in AI and forecasting algorithms
• 🗯️ Collaboration – working closely with the Cash Planning department to enhance forecast accuracy and effectiveness
• 🛠️ Development & Deployment – integrating forecasting models into business workflows and monitor performance in production
• 📊 Visualization & Reporting – creating dashboards and presentations to communicate insights and model performance