data scientist

Capijob; France; Hybride; EUR 45 000 - 60 000; Plein temps

Résumé du poste

A leading ICT services provider in Auvergne-Rhône-Alpes is seeking a Data Scientist to perform data analyses and support fraud detection. This role involves presenting data effectively, proposing action plans, and developing new tools. The ideal candidate has a Master's in computer science and practical experience in data analysis with tools like R, SAS, and Python. Flexible working conditions and a market-aligned salary are offered.

Prestations

Flexible working conditions

Market-aligned salary

Hospitalisation insurance

Pension plan

Meal vouchers

Remote work options

Qualifications

• Master's degree in computer science; strong interest in data.
• Practical experience in data analysis and extraction.
• Familiarity with big data and data governance.

Responsabilités

• Conduct statistical analyses and evaluate them with business analysts.
• Document analyses, configurations, and developments.
• Present data in a visually appealing way for different target groups.
• Proactively propose action plans for regulatory infringements.
• Standardize new tests and analyze evolutions in business.

Connaissances

Data modeling

Data extraction

Statistical analysis

Knowledge of R

Knowledge of SAS

Knowledge of Python

Knowledge of GDPR

Communication in French

Communication in Dutch

Communication in English

Formation

Master's degree in computer science

Outils

R

SAS

Python

Description du poste

Overview

Smals is seeking a Data Scientist to perform data analyses and support fraud and abuse detection. You participate in meetings to identify needs, produce reports to improve control strategy and provide insights based on quantitative information. You document analyses, configurations and developments. You present data in an engaging and targeted way for different audiences and objectives (results, feedback, KPI, research results). You proactively propose relevant action plans for prevention, detection and control of regulatory infringements. You develop new perspectives and instruments for clients and fraud phenomena.

Responsibilities

• Conduct statistical analyses and evaluate them in collaboration with business analysts and/or the client.
• Document analyses, configurations and developments.
• Present available data in a visually appealing and relevant way for different target groups and objectives.
• Proactively propose action plans for prevention, detection and control of regulatory infringements.
• Develop new perspectives and tools for different clients and fraud phenomena.
• Standardize new tests (unit tests) and creatively analyze new evolutions in business, data and/or technology (algorithms, tools).
• Handle feedback requests and provide feedback and improvement suggestions for test results.

Qualifications

• Master\'s degree in computer science; strong interest in data (modeling, extraction, analysis).
• Practical experience in data analysis and extraction in a professional or academic context; familiarity with big data.
• Knowledge of data analysis/extraction tools such as R, SAS and Python; experience with both legacy and modern tools is an asset.
• Integrity and good data governance in accordance with GDPR.
• Strong willingness to share knowledge with colleagues and focus on results.
• Active knowledge of French, Dutch and English.

Company & Benefits

By working at Smals you contribute to ICT services with everyday impact, whether in application development, infrastructure or support services. Opportunities for training, specialisation and career advancement are available. Smals offers flexible working conditions, market-aligned salary, hospitalisation insurance, a second pillar pension, meal vouchers and remote work.