- 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 stakeholdersRequirements- 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 experience with digital advertising and marketing platform data is a plus- Experience turning one-off solutions into reusable internal tools, frameworks or products is a plus- MLOps practices such as CI/CD for models, feature stores and orchestration are a plus- Experience in consulting or product companies with a strong data science practice is a plus- Experience working with international stakeholders is a plusCore CompetenciesDemonstrates expertise in machine learning, applied AI, and advanced statistics, with a strong focus on model validation, deployment, and business impact. Proficient in mentoring junior data scientists and managing client relationships while translating complex technical concepts for non-technical stakeholders.Highest-signal resume keywords- Machine Learning Expertise- Python Programming- Model Validation and Evaluation- A/B Testing and Causal Inference- Cloud Provider ExperienceHard Skills- Machine Learning- Applied Analytics- Model Deployment- Statistics- Python- SQL- ML/DL Frameworks- Gradient Boosting Libraries- Data Validation- Analytics EngineeringSoft Skills- Mentorship- Client Relationship Management- CommunicationIndustry Keywords- Data Science- Digital Advertising- Marketing Platforms- MLOps- ConsultingTools & Technologies- GCP- Azure- AWS- BigQuery- Snowflake- Git#J-18808-Ljbffr

📌 Senior Data Scientist (Torino)
🏢 Jobtailor
📍 Torino