Senior Data Scientist (ML and Fraud Detection)

Hi! Discover the possibilities of collaborating with Scalo!

At Scalo, we focus on delivering software projects and supporting our partners in growing their businesses. We create software that enables people to make changes, act faster, and achieve better results. We utilize a wide spectrum of IT services to support our clients in achieving their business goals.

Our areas of activity include, among others:

• technology consulting,
• software development,
• embedded systems,
• cloud solutions,
• data management,
• dedicated project teams.

What do we offer as part of our collaboration?

• the opportunity to provide services in diverse projects within the Software, Embedded, Data, and Cloud Services areas,
• involvement in additional pre-sales and expert initiatives,
• access to medical care, a sports card, and a cafeteria platform in accordance with the applicable collaboration rules.

Daily tasks

• development and improvement of fraud detection models for the aviation industry,
• conducting analyses on large, complex, and imperfect datasets to identify patterns, anomalies, and new opportunities to improve model effectiveness,
• designing, conducting, and evaluating experiments to validate hypotheses and improve model quality,
• working with Python, SQL, AWS, Amazon SageMaker, XGBoost, Scikit-Learn, Pandas, and NumPy,
• designing advanced feature engineering methods to increase the predictive value of available data,
• building, evaluating, and optimizing Machine Learning models, particularly decision tree-based algorithms such as XGBoost,
• working with highly imbalanced datasets, missing data, and degraded features,
• documenting conducted analyses, experiments, methodologies, and recommendations, with a particular emphasis on working in notebooks and the reproducibility of results,
• service delivery mode: 100% remote,
• project budget: up to 180 PLN/h + VAT, depending on experience and the scope of services provided.

Requirements

Competencies required to perform the services:

• experience in a Data Scientist position on Machine Learning projects,
• very good knowledge of Exploratory Data Analysis (EDA) and the ability to draw conclusions from large, complex, and unstructured datasets,
• practical experience in feature engineering, especially in areas where identifying predictive signals is challenging,
• experience working with highly imbalanced datasets and missing or degraded data,
• experience in the field of fraud detection,
• very good knowledge of tree-based algorithms, particularly XGBoost,
• very good knowledge of Python and Data Science libraries,
• independence in defining, conducting, and analyzing experiments,
• ability to work with requirements and translate them into specific analytical actions,
• ability to present results using data visualization and reporting,
• very good skills in documenting work and sharing knowledge,
• experience working with Machine Learning solutions in an AWS environment,
• English language at C1 level (daily communication).

Nice to have:

• practical knowledge of Amazon SageMaker,
• experience in the aviation, travel, payments, financial services, or fraud prevention industries,
• knowledge of MLOps practices and Machine Learning production environments,
• experience in presenting results to technical and non-technical teams,
• experience in mentoring and promoting Data Science best practices.

Must have: Machine Learning, Data analysis, CA, Python, Data science, AWS

Nice to have: P, MLOps