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Data Scientist

Bridgestone EMEA

Roma

Ibrido

EUR 50.000 - 70.000

Tempo pieno

8 giorni fa

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Descrizione del lavoro

A leading automotive manufacturer is seeking a Senior Data Scientist in Rome to apply machine learning techniques and develop prediction systems. Candidates should possess strong skills in data mining, statistical analysis, and proficiency in programming languages like Python and R. This full-time role offers a hybrid work environment and opportunities for professional growth.

Servizi

Supportive onboarding experience
Opportunities for development and mentorship
Corporate Social Responsibility activities

Competenze

  • 3+ years of experience in machine learning and data mining.
  • Experience with signal processing.
  • Fluency in English is a must.

Mansioni

  • Feature selection and optimizing classifiers.
  • Data mining using advanced methods.
  • Monitor algorithms in production.

Conoscenze

Machine Learning
Data Mining
Statistical Analysis
Python
R
SQL
Data Visualization
Signal Processing
Git

Formazione

Master in Computer Engineering or Computer Science
PhD in Data Science or Machine Learning

Strumenti

PyCharm
Jupyter
Azure Machine Learning Studio
Databricks
TensorFlow
Descrizione del lavoro

Join to apply for the Data Scientist role at Bridgestone EMEA.

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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