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About Us
Bridgestone Americas, Inc. (BSAM), headquartered in Nashville, Tennessee, and Bridgestone Europe, Middle East and Africa (BSEMEA), headquartered in Brussels, Belgium, operate collectively as a “Bridgestone West” strategic region. This region services the strategic business needs of teams across the Americas, Europe, Middle East and Africa. BSAM and BSEMEA are subsidiaries of Bridgestone Corporation, globally headquartered in Japan. Bridgestone and its subsidiaries develop, manufacture and market a wide range of Bridgestone, Firestone and associate brand products and solutions to address the needs of a broad range of customers and industries.
Position Snapshot

JobReq ID: 54375
Type of work: Hybrid
Type of contract: Open-ended/permanent
Full/Part Time: Full time
Location: ROMA, IT

About The Role
We are looking for a Senior Data Scientist that will help us in delivering digital products leveraging on the best and most up-to-date data science practices in the data science Digital Lab team. Your primary focus will be in applying data mining, machine learning techniques, time series analysis techniques, doing statistical analysis, and building high quality prediction systems to be integrated within our products.
Responsibilities

Feature selection, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Signal processing for IoT data
Enriching company’s data with third party sources of information when needed
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Own the algorithm and model development and validation process till it enters production
Monitor the algorithm when running in production and translate customers feedback into new requirements

Skills And Qualifications

Master in Computer Engineering, Computer Science or equivalent
Preferred: PhD in Data Science, Machine Learning or equivalent
3+ years professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
Experience with signal processing
Excellent understanding of machine learning techniques and algorithms
Good applied statistics skills, such as distributions, statistical testing, regression, etc
Experience with common data science tools and, such as Python, PyCharm, R, RStudio, NumPy, SciKit Learn, TensorFlow, MLib, Jupyter, Azure Machine Learning Studio etc.
Experience with data visualization tools, such as D3.js, Matplotlib, GGplot, etc.
Proficiency in using query languages such as SQL
Good knowledge of version-control system such as Git
Experience with Databricks and Spark for data analysis
Knowledge of big data technologies such as Databricks, Microsoft Azure, Hadoop and computing engines is a big plus
Proficiency with latex is a big plus
Good scripting and programming skills
Data-oriented personality
Ability to work collaboratively in a team environment
Ability to independently own and drive model development, balancing demands and deadlines
Great communication skills, Fluency in English is a must.

What We Offer

A supportive and engaging onboarding experience to ensure a smooth transition into our team.
The opportunity to develop and grow, through training and regular mentorship.
Corporate Social Responsibility activities.
A truly global, dynamic and challenging work environment.
Agility and work/life effectiveness and your long-term well-being.
A diverse and inclusive team.

We are committed to create an even more inclusive culture that advances equity, embraces individuality, and helps our increasingly diverse teammates, customers, and communities thrive, by providing equal opportunities in employment. This means that all job applicants and members of staff will receive equal treatment and that we will not discriminate on grounds of gender, marital status, race, ethnicity, color, nationality, national origin, disability, sexual orientation, religion or age.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Motor Vehicle Manufacturing
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