- Company Name
- MP DATA
- Job Title
- Data Scientist - Confirmé/Senior
- Job Description
-
**Job Title:** Data Scientist – Senior
**Role Summary:**
Senior Data Scientist responsible for developing, deploying, and industrializing machine‑learning and deep‑learning models for industrial and defense sectors. Lead end‑to‑end data pipelines, collaborate with cross‑functional stakeholders, and advance MLOps practices to ensure reliable, scalable AI solutions.
**Expectations:**
- Minimum 4 years of proven experience in production‑grade data science.
- Demonstrated ability to translate business problems into data‑driven models.
- Strong communication skills for translating technical insights to non‑technical audiences.
- Passion for high‑security industrial domains (defence, energy, aerospace, critical systems).
**Key Responsibilities:**
1. Design, train, evaluate, and deploy machine‑learning and deep‑learning models on large‑scale datasets, ensuring high performance and robustness.
2. Build and maintain data pipelines using Spark, Hadoop, or NoSQL technologies for ingestion, cleansing, and feature engineering.
3. Implement MLOps solutions: containerize models with Docker, orchestrate with Kubernetes, manage experiments with MLflow, and integrate CI/CD workflows.
4. Govern model lifecycle: versioning, monitoring, retraining triggers, and scaling strategies.
5. Provide technical guidance and mentor junior data science team members.
6. Collaborate with product, engineering, and business stakeholders to define requirements, estimate effort, and validate outputs.
7. Stay current with AI research, tools, and best practices; propose innovative solutions aligned with strategic objectives.
**Required Skills:**
- Advanced proficiency in Python (Pandas, NumPy, Scikit‑learn, TensorFlow, PyTorch).
- Deep knowledge of statistics, optimization, and machine‑learning algorithms (supervised, unsupervised, reinforcement).
- Experience with large‑scale data frameworks (Spark, Hadoop, NoSQL).
- MLOps expertise: Docker, Kubernetes, MLflow, CI/CD pipelines, monitoring, and alerting.
- Familiarity with software testing, version control, and model retraining strategies.
- Strong analytical problem‑solving, autonomy, initiative, and teamwork.
- Excellent written and verbal communication for technical and non‑technical audiences.
**Required Education & Certifications:**
- Minimum Master’s degree (Bac +5) in Data Science, Applied Mathematics, Statistics, Computer Science, or equivalent.
- Relevant certifications in data‑engineering or MLOps (e.g., TensorFlow Certification, AWS Machine Learning Specialty, Kubernetes Administrator) are advantageous.
Boulogne-billancourt, France
Hybrid
Senior
03-11-2025