- Company Name
- Avance Consulting
- Job Title
- Data Science Architect
- Job Description
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Job Title
Data Science Architect
Role Summary
Assess and improve the organization’s data science maturity, focusing on analytical workflows, model lifecycle, governance, and business impact.
Expectations
* Deliver objective maturity assessments and actionable improvement plans.
* Align data science practices with platform, AI, and business strategies.
* Provide clear, evidence‑based recommendations to senior stakeholders.
Key Responsibilities
• Evaluate current data science processes, tools, and team structures to identify strengths, weaknesses, and improvement opportunities.
• Design and implement a structured maturity model for conception, execution, validation, and scaling of data science work.
• Review model lifecycle stages—data preparation, feature engineering, development, validation, monitoring, and iteration.
• Audit tooling and workflow ecosystems, assessing reproducibility, collaboration, and integration readiness.
• Define benchmarks for best practices in experimentation, automation, and MLOps.
• Collaborate with AI and Data & AI Architects to create a unified capability map that links people, platform, and practice insights.
• Identify gaps in model governance, documentation, and model‑to‑business translation; propose actionable remediation paths.
• Produce detailed reports summarizing maturity, gaps, and scalable improvement recommendations.
Required Skills
* Applied data science and machine learning leadership experience.
* Deep understanding of model lifecycle management, experimentation frameworks, and data science governance.
* Familiarity with MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML).
* Proficiency in Python, R, SQL, and libraries such as scikit‑learn, TensorFlow, PyTorch.
* Strong analytical, problem‑solving, and communication skills; ability to translate technical insights into business strategies.
Required Education & Certifications
* Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field (Master’s preferred).
* Relevant certifications (e.g., Certified Data Scientist, MLOps Professional, Cloud AI/ML certification) are a plus.
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