15 set - Torino
reale group
Objective:
- Works 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.
Responsibilities:
- Works with stakeholders to formulate code approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs.
- Will use data exploration techniques to discover new opportunities or to find the best performance.
- Will interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve the data product.
- Will engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact customers.
- Will 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.
- Will participate together with the DevOps team in choosing the best operational architecture.
- Will monitor the performance of ML models and implement the best technological solution within the operational architecture.
Qualifications:
- Degree in Computer Science, Statistics, Mathematics, Economics, or similar.
- 2+ year of engineering experience using large data systems on SQL, Hadoop, Spark, etc.
- 2+ year of experience using one or more programming or scripting language like Python, Scala, or C# to work with data.
- 2+- year of experience using tools like Python, R, MATLAB, AMPL, SAS, or other relevant data science tools/environments.
- Experience with development tools like DevOps.
- Experience with data integration tool like Azure Data Factory and Azure Mapping Dataflow
- Experience with data transformation tool like Azure Databricks
- Experience with machine learning tool like Azure Machine Learning
- Experience with deploying tool like Dockers and Kubernetes
- Familiarity with data visualization
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