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Title:  Senior Data Scientist

Requisition ID:  17903
Location:  Milan
Function:  Information Technology
Contract Type:  Permanent
Experience:  3 - 5 years

Senior Data Scientist

Established in 1872, Pirelli is among the world’s leading tyre producers. It is the only pure consumer tyre company that includes car, motorbike, and bicycle tyres as well as associated services.Pirelli has a distinct positioning in high value tyres, characterised by an advanced technology with more than 3,600 homologations obtained, thanks to partnerships with the most prestigious car manufacturers in the world. In order to achieve the highest levels of performance, safety and containment of environmental impact, Pirelli has always been strongly committed to research and development, in which it invested 6% of revenue from high-value products in 2020.Involved in motorsport since 1907, Pirelli has been the exclusive official tyre partner of the Formula 1™ World Championship since 2011 and has renewed the agreement until 2024. Pirelli's commitment to the creation of sustainable value, a characteristic of the Company's responsible management and its economic, social and environmental performances has resulted in its inclusion in some of the world’s most prestigious sustainability stock market indices such as the Dow Jones World and Europe Sustainability Indices and Global Compact LEAD of the United Nations.


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 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:

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 use IoT data to derive crucial insights and deliver impactful results?”

4.           "How to improve B2C services with data-driven solutions?"

5.           "How to drive new product development?"

6.           "How to design personalized campaign based on consumer behavior?"



•            Translate business questions to data science problems

•            Develop, tune and deploy custom, scalable, predictive models

•            Present complex concepts to non-technical stakeholders in a simple manner

•            Manage a data science product end-to-end from concept to production


Technical skills

A.          Must-have:

•            Excellent knowledge of machine learning models

•            Experience in model development (from business question to the model application)

•            Advanced knowledge of Python

B.           Required:

•            Advanced knowledge of SQL

•            Broad knowledge of statistical learning

•            Extensive knowledge of scientific libraries (pandas, scipy, numpy, jupyter), scikit-learn, statsmodels and related machine learning/stats/data mining packages

•            Deep knowledge of applied statistics including multivariate statistical analysis, Bayesian statistics, Time Series analysis

•            Experience in machine learning model deployment

•            Experience with GIT

•            Knowledge of CI/CD

 C.          Desired skills:

•            Experience with deep learning

•            Experience in Apache Spark

•            Working experience with AWS cloud framework and services

•            Experience with Docker


 Core skills:

Ability to effectively communicate findings and rationale behind predictive models implemented to executives and management

Ability to communicate and collaborate with other team members

Prior experience using agile and scrum


Is considered a plus:

Previous experience in professional end-to-end deep learning projects using TensorFlow.

English (mandatory) / Italian (nice to have)

Master in Computer Science, Physics, Math, Engineering, Statistics or any other data-oriented disciplines.

PhD is a plus.

At least 4 years of experience in a data science position


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