Senior Ai Data Scientist, Agentic Automation (Marketing)

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7xsrpz

Overview
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.
Responsabilità
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
Evaluate vendor APIs, rate limits, data models, integration costs
Ensure safety: staging modes, approvals, auditability, and rollback paths
Ship end-to-end: code, containerise, instrument, deploy with minimal DevOps support
Requisiti fondamentali
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
Evaluation design for generative/agentic output (calibration, regression suites, red-teaming)
Process mapping and quantitative analysis of workflows
Technical vendor evaluation (APIs, data models, integration cost)
Clear communicator with domain experts
Strong problem-framing and requirement extraction
Judgment and accountability for production decisions
Python
Machine Learning
Docker/Containerization

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7xsrpz