Data Scientist

Posted 4 Days Ago
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Warsaw, Warszawa, Masovian
Mid level
Fintech • Payments • Financial Services
The Role
The Data Scientist will develop and refine forecasting models to enhance operational efficiency, analyze data patterns, and drive improvements in predictive accuracy. Responsibilities include time series analysis, data collection, model validation, technical research, innovation in forecasting techniques, and collaboration with various departments to optimize decision-making processes.
Summary Generated by Built In

Description

About the Role:

We are looking for a Data Scientist with a specialization in Forecasting to join our Warsaw team. In this role, you will maintain and develop forecasting models, improve methodologies by integrating innovative technologies and algorithms, and drive continuous improvements in predictive accuracy. You will analyze patterns, detect anomalies, and refine predictive models to optimize business operations and decision-making.

What You'll be doing:

📈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.

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:

• 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.

Benefits

What we offer:

⭐ Exciting and high-impact role in a leading financial organization specializing in ATM services across Europe and beyond, where your work directly influences business decisions and optimizes operations

⭐ 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

Top Skills

Deep Learning
Git
Linux
Machine Learning
Azure
Microsoft Fabric
Predictive Modeling
Python
R
R Shiny
SQL
Statistics
Streamlit
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The Company
Leawood, Kansas
2,936 Employees
On-site Workplace
Year Founded: 1994

What We Do

Starting in Central Europe in 1994 and growing to a global real-time digital and cash payments network with millions of touchpoints today, Euronet (NASDAQ: EEFT) now moves money in all the ways consumers and businesses depend upon. This includes money transfers, credit/debit processing, ATMs, point-of-sale services, branded payments, currency exchange and more. With products and services in more than 200 countries and territories provided through its own brand and branded business segments, Euronet and its financial technologies and networks make participation in the global economy easier, faster and more secure for everyone

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