Stiamo cercando un Product Manager che si unisca al Fixed Tribe in B2C Marketing Alliance. Collaborerai, in un ambiente stimolante ed in continua evoluzione, con il New Revenues Stream Squad che si occupa di sviluppare nuovi servizi attraverso l’identificazione di partner, prodotti e servizi non strettamente legati al contesto Telco, con cui costruire un business model integrato.

Responsabilità
Progettare e implementare iniziative “customer centric” partendo dalle esigenze dei clienti e dai trend di mercato;
Disegnare una superior customer experience in grado di trasferire valore al cliente e al tempo stesso incrementarne il valore;
Tradurre i “Customer Needs” in “Customer Journey”, adottando un approccio di progettazione “customer centric”, testando rapidamente prototipi e soluzioni e lanciando prodotti con valore incrementale in una logica di Minimum Viable Product;
Misurare i risultati dei prodotti/servizi lanciati sia in termini quantitativi sia qualitativi individuando le azioni per migliorarli e accrescerne il valore;
Definire le caratteristiche dell’offerta e relativo pricing in condivisione con il partner al fine di massimizzare la partnership e il valore del e per il cliente;
Eseguire Benchmark di mercato al fine di individuare nuove iniziative e far accrescere il valore dei progetti gestiti dal team;
Supporto nella preparazione di materiale di marketing e comunicazione, nonché di contenuti digitali, descrivendo in dettaglio un’efficace narrazione del prodotto.

Competenze Richieste
Laurea in Economia, in Ingegneria Gestionale o assimilabile;
Almeno 2-3 anni di esperienza come Product Manager in aziende in ambito Utility, Banking e Insurance;
Ottima conoscenza della lingua inglese;
Ottima conoscenza del pacchetto Office (Excel, Word, Power Point);
Conoscenza di Jira o di altri strumenti utilizzati nel framework Agile;
Digital Mindset and open mind;
Forte capacità di innovazione e creatività.

Sede di lavoro: Rho, MI (Italia)

We are looking for brilliant and talented Data Engineer to join our Data Engineering Dream-Team, within the Big Data & Analytics / Commercial Dept.
You’ll collaborate in a friendly, young, passionate, fast-paced and challenging customer-focused environment, to drive Wind Tre forward on its Data-Driven transformation journey.
If you like creating new visions for the future, if you have a natural curiosity and a creative mind, and you’re eager to work in a collaborative context, we would like to meet you!

Main responsibilities and activities
Industrialize highly scalable data pipelines covering the end to end data lifecycle, from discovery to production. Contribute to standardize conceptual and logical data model;
Process large-scale multi-structured information (multi-variate, heterogeneous sources, large volume, raw data) and guarantee optimized data sets;
Work tightly with Data Scientists in an agile and collaborative environment to deliver advanced analytics and AI use cases.

Required Skills
Demonstrated experience in Data pipelining / ETL and Data architectures. Experience with object-oriented and functional programming, software engineering and testing patterns for large-scale data processing;
Proficiency with Hadoop Stack (Apache Hadoop, Spark, Beam, Kafka) and open source ecosystem;
Knowledge of SQL and NoSQL Database (such as MongoDB and Neo4j). Familiarity with Python, Java, JavaScript, SQL;
Fluent in data wrangling and preparation (exploratory analysis, profiling & cleansing, feature engineering);
Strong working knowledge on programming languages (Python, SQL), Python libraries (e.g. Pandas, Numpy, Matplotlib, Seaborn, Tensorflow) and DevOps tools (Git, Airflow, Dataflow, Kubernetes);
Preferred: Knowledge of Deep Learning models and open source frameworks (Keras, TensorFlow, PyTorch);
3+ years of proven experience in Data Engineering roles, in major consulting firms or big international companies;
Preferred: knowledge of GCP such as BigQuery, DataProc, DataFlow, Pub/Sub;
Preferred: experience with B2B business and product offering;
Preferred: working experience on Telco companies, data engineering applied to Commercial use, data pipelining, cleansing, preparation.

Education
MSc in Computer Engineering, Computer Science or other related disciplines

Sede di lavoro: Rho, MI (Italia)

We are looking for brilliant and talented Data Scientists to join our Data Intelligence Dream-Team, within the Big Data & Analytics Dept. You’ll collaborate in a friendly, passionate, fast-paced and challenging customer-focused environment, to drive Wind Tre forward on its Data-Driven transformation journey.

If you like creating new visions for the future, if you have a natural curiosity and a creative mind, and you’re eager to work 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

Sede di lavoro: Rho, MI (Italia)