Data Science Architect

Role: Data Science Architect

Location: Paris 2-3days onsite in a week

Duration: 10-week engagement with possible extension

Role Summary

The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact.

Qualifications

• 6–10 years of experience in applied data science, machine learning, or analytics leadership.

• Strong understanding of model lifecycle management, experimentation frameworks, and data science governance.

• Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML).

• Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

• Proven ability to assess or design organizational processes for data science delivery and model management.

• Excellent analytical and communication skills, with the ability to synthesize technical observations into actionable business recommendations.

Preferred Skills

• Experience designing or applying data science maturity models or capability frameworks.

• Understanding of data governance, compliance, and ethical AI practices.

• Experience leading or advising multi-team data science organizations.

• Knowledge of cloud data science environments (AWS, Azure, GCP).