Title:  Senior Data Scientist

Job description  

Would you like to be part of an international agile team of data scientists and data engineers to solve problems and deliver value across R&D, manufacturing, sales & marketing and connected tyres?
Do you want to make an impact using your analytics skills against a huge amount of widely diverse data?
Do you thrive in a fast paced, multidisciplinary environment where you have the chance to develop robust machine learning models and predictive analytics solutions to solve complex business problems?
 
At Pirelli you will apply statistical analysis and machine-learning techniques on a wide range of data (from sensors, to telemetry to manufacturing) and you will change how decisions are made across all business units.

You will be in charge of coming up with effective and scalable solutions that, leveraging internal and external data, will answer questions such as for example:
1.“How can we optimize our supply chain flow in a particular geographic region?”
2.“How can we build an effective and scalable real time monitoring system for production quality control?” 
3.“How can we parse and model IoT data to derive crucial insights and deliver impactful results?” 
4."How to improve business-to-consumer services with data-driven solutions?"
5."How to drive new product development?"
6."How to design personalized campaign based on consumer behavior?"
 
Responsibilities:
•Translate business questions to data science problems;
•Develop, tune and deploy custom, scalable, predictive models;
•Support implementation of data pipelines considering data products requirements;
•Present complex concepts to a non-technical stakeholders in a simple manner;
•Manage a data science product end-to-end from concept to production.
 
Business Department: Data Management

Function: Data Science and Analytics

Technical competence and Skills    

Required Skills:
•A passion and curiosity for data and data-driven decision making;
•Broad knowledge of statistical learning;
•Deep knowledge of applied statistics including multivariate statistical analysis, Bayesian statistics, Time Series analysis;
•Extensive experience in machine learning models development and deployment;
•Ability to effectively communicate findings and rationale behind predictive models implemented to executives and management;
•Ability to prototype and test suboptimal solutions quickly and iterate up to a final product that can be deployed in production;
•Advanced knowledge of Python and related scientific libraries (pandas, scipy, numpy, jupyter);
•Extensive knowledge of scikit-learn, statsmodels and related machine learning/stats/data mining packages;
•Experience with GIT, CI is a must;
•Advanced knowledge of SQL;
•Ability to communicate and collaborate with other team members;
•Prior experience using agile and scrum.
 
Desired Skills:
•Knowledge of deep learning;
•Experience with tensorflow;
•Experience in Apache Spark;
•Working experience with AWS cloud framework and services;
•Experience with Docker.
 
Is considered a plus:
•Create visualization and interactive dashboards to communicate results of analysis and outcome of models in a meaningful and actionable manner;
•Previous experience in professional end-to-end deep learning projects using TensorFlow.
 
Required languages: English (mandatory) / Italian (nice to have)
Instruction level:        Master in Computer Science, Physics, Math, Engineering, Statistics or any other data-oriented disciplines.
                                  PhD is a plus.

Seniority level:           At least 3 years of experience in a data science position

Location: the position will be based at the newest Pirelli Office in Bari (BA), Italy.