Senior AI Data Scientist, Agentic Automation (Marketing)

Experteer Italy

Firenze

In loco

EUR 90.000 - 120.000

Tempo pieno

6 giorni fa
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Descrizione del lavoro

Experteer Italy is seeking a Senior AI Data Scientist to build agentic marketing automation systems across brands and languages. You will map processes, quantify ROI, and deploy auditable, self-documenting workflows with guardrails.

The role blends data science with software engineering, delivering end-to-end production solutions with strong API integration and cost/latency optimization. The ideal candidate has 7+ years building data and ML systems, expert Python/ML skills, and experience with

Competenze

  • 7+ years building data and ML systems.
  • Expert in Python and ML.
  • End-to-end production experience with multi-step, tool-calling LLM workflows.
  • Experience integrating with third-party APIs, including auth, rate limits, pagination.
  • Cost and latency optimization in model routing and caching.
  • Safety-focused design with staging, approvals, least-privilege scoping.
  • Process mapping and quantitative analysis of workflows.

Mansioni

  • Map current marketing workflows and attach hours per step to quantify effort
  • Extract live requirements from non-technical stakeholders
  • Design state transitions, API calls, and failure handling across steps
  • Build guardrails: dry-run mode, approval gates, least-privilege scopes, undo mechanisms
  • Define human-in-the-loop policy and review queues for marketers
  • Write evaluation designs for non-traditional metrics (precision/recall, source verification, brand voice checks)
  • Validate tracking data quality and quantify errors before production
  • Integrate agents with webhooks or scheduled triggers and ensure idempotent behavior
  • Decide when to use frontier vs cheaper models and prove cost/latency tradeoffs
  • Ensure safety: staging modes, approvals, auditability, and rollback paths
  • Ship end-to-end: code, containerise, instrument, deploy with minimal DevOps support

Conoscenze

Python
Machine Learning
LLM workflows
API integration
Cost optimization
Latency optimization
Safety design
Process mapping
Quantitative analysis
End-to-end production

Descrizione del lavoro

Senior AI Data Scientist, Agentic Automation (Marketing)

As Senior Data Scientist in the Applied AI team, you will build agentic marketing-automation systems that span multiple brands and languages. You map processes, quantify ROI, and deliver production-ready solutions that operate end-to-end and credibly justify decisions. You’ll shape auditable, self-documenting workflows and deploy them with guardrails, ensuring safe, scalable influence on marketing outcomes. This role blends data science with software engineering to drive measurable impact across SMB brands.

  • Map current marketing workflows and attach hours per step to quantify effort
  • Extract live requirements from non-technical stakeholders
  • Design state transitions, API calls, and failure handling across steps
  • Build guardrails: dry-run mode, approval gates, least-privilege scopes, undo mechanisms
  • Define human-in-the-loop policy and review queues for marketers
  • Write evaluation designs for non-traditional metrics (precision/recall, source verification, brand voice checks)
  • Validate tracking data quality and quantify errors before production
  • Integrate agents with webhooks or scheduled triggers and ensure idempotent behavior
  • Decide when to use frontier vs cheaper models and prove cost/latency tradeoffs
  • Ensure safety: staging modes, approvals, auditability, and rollback paths
  • Ship end-to-end: code, containerise, instrument, deploy with minimal DevOps support
  • 7+ years building data and ML systems
  • Expert in Python and ML
  • End-to-end production experience with multi-step, tool-calling LLM workflows
  • Experience integrating with third-party APIs, including auth, rate limits, pagination
  • Cost and latency optimization in model routing and caching
  • Safety-focused design with staging, approvals, least-privilege scoping
  • Process mapping and quantitative analysis of workflows
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