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.

Languages

French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Capgemini
Senior Data Scientist / Technical Lead
ENERGY AND UTILITIES
February 2022 - Today (4 years and 4 months)
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
SOFTWARE PUBLISHING
May 2018 - February 2022 (3 years and 9 months)
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
RESEARCH
January 2015 - January 2018 (3 years)
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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