14 set - Torino
Jobtailor
Design, develop and validate solutions across classical machine learning, applied AI, agents, copilots, LLM-based services and advanced statistics
Bring solutions to production with the appropriate level of rigor
Select methods including experimentation, A/B testing, backtesting and causal inference to prove business impact
Own 2-3 client projects end-to-end in parallel
Manage relationships with senior client stakeholders
Identify recurring patterns across projects and abstract them into reusable frameworks and accelerators with the CTO
Mentor junior data scientists
Contribute to the team's training roadmap
Support Client Managers in pre-sales scoping
Translate business requirements into technical architectures and realistic estimates
Bring solutions to production in collaboration with Data Engineering and Analytics Engineering colleagues
Translate technical work into clear narratives for non-technical stakeholders
Requirements
Fluent Italian, C1 English
8+ years of experience in data science, machine learning or applied analytics
At least 2 years in a senior capacity with technical ownership of projects and mentorship of junior colleagues
Strong Python (pandas, NumPy)
ML/DL frameworks: scikit-learn, PyTorch, TensorFlow
Gradient boosting libraries: XGBoost, LightGBM, CatBoost
Solid foundations in statistics, probability and ML theory
Proven experience with model validation and evaluation, avoiding overfitting and data leakage
Experience with A/B testing, backtesting and causal inference techniques
At least one shipped LLM use case (RAG, agent, copilot or similar
Advanced SQL
Familiarity with data warehouses such as BigQuery or Snowflake
Hands-on experience with at least one cloud provider: GCP, Azure or AWS
Experience with model deployment, monitoring and logging in production
Git and collaborative development
Clean, testable and maintainable code beyond notebooks
Track record of models shipped to production with measurable business impact
Analytics engineering expe
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