Data Scientist – Fraud Detection (m/f/d)
Loyalty Partner Polska Sp. z o.o. (PAYBACK)
⚲ Warszawa, Wola
Do uzgodnienia
Wymagania
- Python
- SQL
- AWS
Opis stanowiska
Nasze wymagania:
Strong Python for data analysis and machine learning (e.g. pandas, scikit-learn)
Advanced SQL for analytical queries and feature generation
Strong analytical and structured working style
Experience with supervised learning as well as unsupervised methods such as clustering, outlier detection, or semi-supervised approaches
Good understanding of overfitting, regularization, feature or label leakage, and its mitigation
Hands-on exposure to validation strategies under production conditions
Experience with cloud-based ML software stack
Communication skills to understand business needs and generate business value
Mile widziane:
Experience with AWS Stack
Familiarity with fraud-specific metrics or cost-sensitive modeling
Experience with Generative AI (e.g. for experimentation, exploration, or documentation)
Basic understanding of software engineering concepts and APIs
O projekcie:
We are looking for a hands-on Data Scientist to support our fraud recognition project.
The role owns the data science and machine learning aspects of the solution, from data analysis to model evaluation.
The role is well suited for colleagues with strong analytical, SQL, Python, or software backgrounds who want to grow into a machine‑learning‑focused position.
Zakres obowiązków:
Analyze transactional and behavioral data to identify fraud patterns; perform data quality checks and exploratory analysis
Prepare and document datasets for training, validation, and testing using SQL and Python
Design fraud-relevant features and translate business logic into measurable signals
Develop, evaluate, and improve supervised and unsupervised ML models for fraud detection
Handle imbalanced, noisy real-world data and assess models using fraud-relevant metrics
Analyze false positive / false negative trade-offs and provide model explainability (e.g. SHAP)
Collaborate with developers and database teams to integrate ML outputs into the application
Communicate results clearly to technical and non-technical stakeholders, including the customer
Oferujemy:
Employment contract? Of course. With us you do not have to worry about stable employment.
Benefits? We have them! Among other: corporate incentive program, sport card, private medical care.
Lunch card? With the cooperation extended and permanent contract, you will receive additional funds to use for meal purchases.
Working in a hybrid model? Of course! ! You work with us 2 days a week from home.
Work wherever you want? In PAYBACK you have the opportunity. Working 100% remotely, also from European countries for 15 days a year.
Flexible working hours? Sounds great! We start working between 7 to 10.
Trainings? Of course. We provide training to develop hard and soft skills.
Convenient location? Sure! We invite you to our new office at Rondo Daszyńskiego, but we are currently also working remotely.
Dress code? We definitely say no. There are no rigid dress code rules in our company, sneakers are more than welcome.
Friendly atmosphere at work? Yes! In PAYBACK, people are the most important asset.
Something is missing? Open communication is our priority, so dare to ask!
Strong Python for data analysis and machine learning (e.g. pandas, scikit-learn)
Advanced SQL for analytical queries and feature generation
Strong analytical and structured working style
Experience with supervised learning as well as unsupervised methods such as clustering, outlier detection, or semi-supervised approaches
Good understanding of overfitting, regularization, feature or label leakage, and its mitigation
Hands-on exposure to validation strategies under production conditions
Experience with cloud-based ML software stack
Communication skills to understand business needs and generate business value
Mile widziane:
Experience with AWS Stack
Familiarity with fraud-specific metrics or cost-sensitive modeling
Experience with Generative AI (e.g. for experimentation, exploration, or documentation)
Basic understanding of software engineering concepts and APIs
O projekcie:
We are looking for a hands-on Data Scientist to support our fraud recognition project.
The role owns the data science and machine learning aspects of the solution, from data analysis to model evaluation.
The role is well suited for colleagues with strong analytical, SQL, Python, or software backgrounds who want to grow into a machine‑learning‑focused position.
Zakres obowiązków:
Analyze transactional and behavioral data to identify fraud patterns; perform data quality checks and exploratory analysis
Prepare and document datasets for training, validation, and testing using SQL and Python
Design fraud-relevant features and translate business logic into measurable signals
Develop, evaluate, and improve supervised and unsupervised ML models for fraud detection
Handle imbalanced, noisy real-world data and assess models using fraud-relevant metrics
Analyze false positive / false negative trade-offs and provide model explainability (e.g. SHAP)
Collaborate with developers and database teams to integrate ML outputs into the application
Communicate results clearly to technical and non-technical stakeholders, including the customer
Oferujemy:
Employment contract? Of course. With us you do not have to worry about stable employment.
Benefits? We have them! Among other: corporate incentive program, sport card, private medical care.
Lunch card? With the cooperation extended and permanent contract, you will receive additional funds to use for meal purchases.
Working in a hybrid model? Of course! ! You work with us 2 days a week from home.
Work wherever you want? In PAYBACK you have the opportunity. Working 100% remotely, also from European countries for 15 days a year.
Flexible working hours? Sounds great! We start working between 7 to 10.
Trainings? Of course. We provide training to develop hard and soft skills.
Convenient location? Sure! We invite you to our new office at Rondo Daszyńskiego, but we are currently also working remotely.
Dress code? We definitely say no. There are no rigid dress code rules in our company, sneakers are more than welcome.
Friendly atmosphere at work? Yes! In PAYBACK, people are the most important asset.
Something is missing? Open communication is our priority, so dare to ask!
🔍 Dekoder Ogłoszenia
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The role owns the data science and machine learning aspects of the solution, from data analysis to model evaluation.
Oznacza to, że będziesz odpowiedzialny za cały cykl życia modelu, od początkowej analizy danych po końcową ocenę, co może być bardzo szerokim zakresem obowiązków.
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The role is well suited for colleagues with strong analytical, SQL, Python, or software backgrounds who want to grow into a machine‑learning‑focused position.
Sugestia, że obecna pozycja może nie być w pełni skoncentrowana na uczeniu maszynowym, a raczej jest to ścieżka rozwoju w tym kierunku.
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Hands-on exposure to validation strategies under production conditions
Może oznaczać zarówno praktyczne wdrażanie i monitorowanie modeli w środowisku produkcyjnym, jak i konieczność radzenia sobie z problemami, które pojawiają się w realnych warunkach.
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Communication skills to understand business needs and generate business value
Oprócz technicznych umiejętności, oczekuje się od Ciebie aktywnego udziału w definiowaniu problemów biznesowych i przekładaniu ich na rozwiązania techniczne, co może wymagać więcej czasu na spotkania i dyskusje.
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Basic understanding of software engineering concepts and APIs
Może oznaczać, że będziesz musiał integrować swoje modele z istniejącymi systemami lub tworzyć proste API, co wykracza poza typowe zadania Data Scientist.