Senior data science. Without the full-time hire.
Data initiatives stall when the business question is unclear, the baseline is missing, or model performance is disconnected from operational reality. More complexity is not always the answer. My physics and data science background helps me challenge assumptions, examine the evidence, and choose an approach that fits the problem.
How we work together
We start with your decision or workflow, inspect the available data, and establish a measurable baseline. Work can include predictive modeling, feature pipelines, evaluation, deployment, and monitoring. Alongside delivery, I help your team review experiments and understand the trade-offs behind each decision.
What the engagement can include
- Problem framing, data assessment, and a practical ML roadmap
- Predictive models and reproducible evaluation
- Production pipelines, monitoring, and model maintenance
- Technical mentoring and regular stakeholder alignment
Is this the right fit?
Suitable for teams building their first production models, businesses improving an existing ML pipeline, and organizations that need sustained senior support without a permanent role. Scope, weekly involvement, and success measures are agreed together.
I’m Paolo Chignoli, a senior data scientist, AI engineer, and AI architect with an MSc in Physics from the University of Milan. I’m based in Milan and open to contractor roles and fractional partnerships with teams around the world. Remote collaboration is the default; we agree on practical arrangements together.
View my professional background on LinkedIn or explore my GitHub profile.