Data Scientist

Join to apply for theData Scientistrole atBridgestone EMEA.About UsBridgestone 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 SnapshotJobReq ID:*****Type of work:HybridType of contract:Open-ended/permanentFull/Part Time:Full timeLocation:ROMA, ITAbout The RoleWe 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.ResponsibilitiesFeature selection, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsSignal processing for IoT dataEnriching company's data with third party sources of information when neededProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerOwn the algorithm and model development and validation process till it enters productionMonitor the algorithm when running in production and translate customers feedback into new requirementsSkills And QualificationsMaster in Computer Engineering, Computer Science or equivalentPreferred: PhD in Data Science, Machine Learning or equivalent3+ years professional experience in applying machine learning and data mining techniques to real problems with copious amounts of dataExperience with signal processingExcellent understanding of machine learning techniques and algorithmsGood applied statistics skills, such as distributions, statistical testing, regression, etcExperience 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 SQLGood knowledge of version-control system such as GitExperience with Databricks and Spark for data analysisKnowledge of big data technologies such as Databricks, Microsoft Azure, Hadoop and computing engines is a big plusProficiency with latex is a big plusGood scripting and programming skillsData-oriented personalityAbility to work collaboratively in a team environmentAbility to independently own and drive model development, balancing demands and deadlinesGreat communication skills, Fluency in English is a must.What We OfferA 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 levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesMotor Vehicle ManufacturingReferrals increase your chances of interviewing at Bridgestone EMEA by 2x.#J-*****-Ljbffr