17 set - Torino
reale group
ph3Objective: /h3 ul liWorks with data scientist, data engineer and data architect in order to authomatize, optimize and scale data products to ensure the industrialization and the performance of algorithms. /li /ul h3Responsibilities: /h3 ul liWorks with stakeholders to formulate code approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs. /li liWill use data exploration techniques to discover new opportunities or to find the best performance. /li liWill interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve the data product. /li liWill engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact customers. /li liWill also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of the data product. /li liWill participate together with the DevOps team in choosing the best operational architecture. /li liWill monitor the performance of ML models and implement the best technological solution within the operational architecture. /li /ul h3Qualifications: /h3 ul liDegree in Computer Science, Statistics, Mathematics, Economics, or similar. /li li2+ year of engineering experience using large data systems on SQL,
Hadoop, Spark, etc. /li li2+ year of experience using one or more programming or scripting language like Python, Scala, or C# to work with data. /li li2+- year of experience using tools like Python, R, MATLAB, AMPL, SAS, or other relevant data science tools/environments. /li liExperience with development tools like DevOps. /li liExperience with data integration tool like Azure Data Factory and Azure Mapping Dataflow /li liExperience with data transformation tool like Azure Databricks /li liExperience with machine learning tool like Azure Machine Learning /li liExperience with deploying tool like Dockers and Kubernetes /li liFamiliarity with data visualization tool like PowerBI /li liFluent written and spoken English. /li /ul pKnowledge and experience with key data science areas such as machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and other areas of data science: /p ul liExperience performing data analysis including applying statistics. /li liAbility in verbal and written communication skills presenting to large and small audiences. /li liAbility to interact with peers and stakeholders to define and drive product and business impact. /li liMaster in Artificial Intelligence will be preferred. /li /ul /p #J-18808-Ljbffr
18 set - Chiavari
Acrobatica
18 set - Fonzaso
Greta
18 set - Trento
Car Clinic
18 set - Nola
Demetra Formazione