Senior Data Scientist (ML and Fraud Detection)

New

ScaloFraud detection

Country code: PL; tryb realizacji usług: 100% zdalnieFull-TimeSenior

Salary150 - 180 PLN per hour

Apply NowOpens the employer's application page

Job Details

Have experience as a Data Scientist on Machine Learning projects.
Demonstrate strong Exploratory Data Analysis skills and the ability to draw conclusions from large, complex, unstructured datasets.
Have practical feature engineering experience, particularly where predictive signals are difficult to identify.
Have experience with highly imbalanced datasets and missing or degraded data.
Have experience in fraud detection.
Know tree-based algorithms well, particularly XGBoost.
Have strong Python and Data Science library skills.
Be able to independently define, conduct, and analyze experiments.
Be able to translate requirements into concrete analytical actions.
Be able to present results using data visualizations and reporting.
Have strong documentation and knowledge-sharing skills.
Have experience with Machine Learning solutions in AWS environments.
Have English proficiency at C1 level for daily communication.

Develop and improve fraud detection models for the aviation industry.
Analyze large, complex, imperfect datasets to identify patterns, anomalies, and opportunities to improve model performance.
Design, run, and evaluate experiments to validate hypotheses and improve model quality.
Engineer features to increase the predictive value of available data.
Build, evaluate, and optimize machine learning models, particularly decision-tree-based algorithms such as XGBoost.
Work with highly imbalanced datasets, missing data, and degraded features.
Use Python, SQL, AWS, Amazon SageMaker, XGBoost, Scikit-Learn, Pandas, and NumPy.
Document analyses, experiments, methodologies, and recommendations, including work in notebooks and reproducible results.

View Full Description & ApplyYou'll be redirected to the employer's site