We are looking for Senior Data Scientists to join our Data Intelligence team, within the Big Data & Analytics unit. You’ll collaborate in a challenging customer-focused environment to drive Wind Tre forward on its Data-Driven transformation journey.
If you’re passionate about processing large and heterogeneous datasets with modern Machine Learning and Artificial Intelligence methodologies in a collaborative agile context, we would like to meet you!
Main responsibilities and activities
Address complex analytics, predictive, simulation and optimization scenarios (multi-variate, heterogeneous sources, large volume, raw data) leveraging on Machine Learning, Artificial Intelligence methodologies and programmatic tools
Drive with key decision makers problem framing, hypothesis testing, outputs interpretation and insights actionability
Manage the end-to-end modeling lifecycle from prototyping to industrialization: discovery, training, testing, serving, monitoring
Required Skills
Demonstrated experience in statistical modeling and modern Machine Learning algorithms (classification, clustering, bagging, boosting) and methodologies (CRISP-DM)
Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering
Strong working knowledge on programming languages (Python, SQL), data science libraries (Pandas, Scikit-learn, XGBoost) and MLOps tools (Git, Airflow, Kubernetes)
Knowledge of Deep Learning models and open source frameworks (Keras, TensorFlow, PyTorch)
Demonstrated experience with advanced data visualization libraries and tools (Matplotlib, Seaborn, Altair)
Preferred experience with Natural Language and Cognitive applications
Preferred working experience on Telco companies, data science applied to Commercial use cases (segmentation, x-sell & up-sell, churn prediction, fraud prediction, network analysis, …) and AI products (virtual agents, bots, …)
3+ years of proven experience in Data Science / Machine Learning roles, in major consulting firms or big international companies
Education
MSc in Engineering, Statistics, Physics or other related disciplines
About the Team
Are you curious about the #Dataintelligence team? Watch the video of the Head of Data Intelligence at this link .
Candidati per questo lavoro →
If you’re passionate about processing large and heterogeneous datasets with modern Machine Learning and Artificial Intelligence methodologies in a collaborative agile context, we would like to meet you!
Main responsibilities and activities
Address complex analytics, predictive, simulation and optimization scenarios (multi-variate, heterogeneous sources, large volume, raw data) leveraging on Machine Learning, Artificial Intelligence methodologies and programmatic tools
Drive with key decision makers problem framing, hypothesis testing, outputs interpretation and insights actionability
Manage the end-to-end modeling lifecycle from prototyping to industrialization: discovery, training, testing, serving, monitoring
Required Skills
Demonstrated experience in statistical modeling and modern Machine Learning algorithms (classification, clustering, bagging, boosting) and methodologies (CRISP-DM)
Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering
Strong working knowledge on programming languages (Python, SQL), data science libraries (Pandas, Scikit-learn, XGBoost) and MLOps tools (Git, Airflow, Kubernetes)
Knowledge of Deep Learning models and open source frameworks (Keras, TensorFlow, PyTorch)
Demonstrated experience with advanced data visualization libraries and tools (Matplotlib, Seaborn, Altair)
Preferred experience with Natural Language and Cognitive applications
Preferred working experience on Telco companies, data science applied to Commercial use cases (segmentation, x-sell & up-sell, churn prediction, fraud prediction, network analysis, …) and AI products (virtual agents, bots, …)
3+ years of proven experience in Data Science / Machine Learning roles, in major consulting firms or big international companies
Education
MSc in Engineering, Statistics, Physics or other related disciplines
About the Team
Are you curious about the #Dataintelligence team? Watch the video of the Head of Data Intelligence at this link .