Description

Senior Data & AI engineer with 8+ years of experience in data science, machine learning, and big data engineering. Proven track record in designing and delivering end-to-end data platforms using Palantir Foundry, Databaricks, PySpark, PowwerBI and AWS, with a strong focus on data governance, scalability, and business impact.

Experienced in leading technical teams, mentoring junior developers, and driving cross-functional collaboration with stakeholders.

Langues

Français
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Capgemini
Senior Data Scientist / Technical Lead
ENERGIE
février 2022 - Aujourd'hui (4 ans et 4 mois)
Paris, France
○ Led the end-to-end delivery of a large-scale CO2 emissions monitoring platform for ENGIE, leveraging Palantir Foundry and AWS (data ingestion, PySpark pipelines,
governance, dashboards).
○ Built and maintained Python/PySpark and TypeScript repositories, ensuring scalability,
maintainability, and compliance with governance standards.
○ Designed and implemented complex workshop applications and dashboards used by
internal and external stakeholders.
○ Drove data governance initiatives with health checks, data quality expectations, and
secure access management.
○ Acted as technical lead: coached junior developers, coordinated with business teams,
and facilitated workshops with clients.
○ For Merck, performed an architectural review of the global data ecosystem, providing strategic recommendations to align Foundry adoption with enterprise standards.
Palantir Foundry PySpark Pyhton AWS Databricks
Datapole
Data Scientist & Head of Statistical Processing Chain
EDITION DE LOGICIELS
mai 2018 - février 2022 (3 ans et 9 mois)
Paris, France
○ Managed the full statistical processing chain, from data preparation to predictive
modeling, acting as the main technical reference within the company.
○ Designed and deployed internal R packages for preprocessing, missing value imputation,
and supervised learning, improving productivity and standardization across projects.
○ Delivered impactful client projects:
• EY: built a smart alert system for temperature/humidity monitoring using flow
modeling.
• Dalkia (Roissy-CDG Airport): developed predictive analytics to optimize facility
management operations.
• Thomas-Whatt: implemented machine learning models for traffic forecasting.
○ Took on responsibilities beyond delivery, including mentoring junior colleagues and
contributing to pre-sales discussions.
RStudio PostgreSQL Git/Github Machine learning Data science
CNRS
Research Engineer
CENTRES DE RECHERCHE
janvier 2015 - janvier 2018 (3 ans)
Marseille, France
○ Development of pattern recognition algorithms for experimental acoustic emission signals:
comparative study of classical and functional methods;
○ Signal denoising.
RStudio Data visualisation Time Series Machine learning Data Engineer

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PhD in engineering sciences
Universit´ e Aix-Marseille
2018
PhD in engineering sciences
Master in statistics and
Universities of Toulouse III and I (Toulouse School of Economics)
2014
Master in statistics and

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Traore Oumar

Data & IA Engineer

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