Data Scientist Lazio

Data Scientist
Roma
Lazio, Lazio

Background Bridgestone Europe is a key regional subsidiary of Tokyo-based Bridgestone Corporation, the world's largest manufacturer of tires and rubber products.

Bridgestone Corporation and its subsidiaries employ over 140. 000 people around the world, operate 178 plants in 25 nations and sell products in more than 150 countries.

One in five vehicles in the world drives on the company's tires.

"Serving Society with Superior Quality" has been our mission since Shojiro Ishibashi founded Bridgestone in 1931.

Our founder's original vision and philosophy drives us to make life safer and more fulfilling for people everywhere.

That means pursuing the highest quality in products, in service, in technology and in all our corporate activities.

This philosophy is embedded in the way we work.

We call it "The Bridgestone Essence" and it embodies the spirit that we all share and our desire to build a better Bridgestone for our customers, shareholders, business partners and, of course, our employees.

Bridgestone has opportunities to develop and grow your career.

As the world's largest tire and rubber company, we strive to offer development opportunities in our global organization including our technical centers in the US and Japan.

Your ability to apply engineering technics to identify solutions as well as apply creativity to improve performance and solve challenges is critical.

Your ideas and concepts will impact our ability to design and develop products to meet the future needs of our European consumers.

Job Description We are looking for a Data Scientist that will help us in delivering digital data products.

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 into 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 Skills and Qualifications Master in Computer Engineering, Computer Science or equivalent Preferred: PhD in Data Science, Machine Learning or equivalent Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data Experience with signal processing, in particular FFT analyses Excellent understanding of machine learning techniques and algorithms, such as Anomaly detection, Bayesian techniques, SVM, Decision Forests, Deep Learning, Regression etc.

Good applied statistics skills, such as distributions, statistical testing, regression, etc Experience with common data science tools and libraries, 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, Hive, Pig Good knowledge of version-control system such as Git Experience with Databricks and Spark for data analysis Knowledge of big data technologies such as 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.

Position will be based in Rome Italy #J-18808-Ljbffr