Hybrid Data Scientist

at Bridgestone EMEA

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Azure, D3.js, Hadoop, IoT, JavaScript, Numpy, Python, Spark, SQL, Tensorflow
• Location requirements: Hybrid, ROMA, Italy

About the role

• Senior Data Scientist applying data mining and machine learning techniques at Bridgestone. Involved in developing high-quality prediction systems for diverse 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

Requirements

• 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 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
• 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.

Benefits

• 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.