Senior AI Data Scientist, Agentic Automation (Marketing)

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

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 Dev Ops 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/7oelra