Why SoftwareOne? SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and manage everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareOne unlocks the value of technology. The company’s 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 90 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON. Visit us at https://www.softwareone.com/en The role DATA Scientist The primary focus for a candidate will be in applying different techniques (data mining/statistical analysis/build prediction systems/recommendation systems) using large company data sets to find opportunities for services and products and using models to test the effectiveness of different courses of action. The Candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Work with business cases to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development and sales techniques Assess the effectiveness and accuracy of new data sources and data gathering Extending company’s data with third party sources of information when needed Use predictive modeling to increase revenue generation, ad targeting and other business outcomes. What we need to see from you Core: Analyze business cases and identify data sources (internal/external) and data mining/analysis methods to use Develop a normalization engine to execute cleansing/deduplication for a raw data through ETL process for data sources Create, train and test predictive models to solve defined business cases Develop algorithms to apply to data sets Design data structure models for collected data Facilitate the build of a solution from PoC to production Work with business owners to gather additional information about business cases Job Specific: Work with Google Cloud data and AI tools Be ready to work in agile style (daily, sprint planning, sprint review, retrospective) Work in an environment that adapts quickly to creative change using agile principles Actively work with different development groups inside of organization Be ready to adapt a new tool/library/technology/platform Desirable Skills: Fluent in French and English At least 4 years experience in Machine learning models creation Master’s in Statistics, Mathematics, Computer Science preferred Professional Machine learning engineering certification Experience with common data science toolkits and libraries, such as pandas, keras, scipy, scikit, tensorflow, NumPy etc Knowledge and interest in the following: prediction models, Vertex AI, Tenserflow, BigQuery ML, Python, natural language processing, deep learning models, dataPROC, Hadoop, SQL Experience using statistical computer languages namely Python to manipulate data and draw insights from large data sets Strong knowledge and experience using SQL language Experience with C++/C# and Java as a plus Background in technology or professional services preferably in one or more of the domains of GCP and Security, Strong understanding of consulting business Strong structural work methods, multitasking and time management skills Self-driven independent work ethics that drives internal and external accountability May require periodic travel for workshops #LI-EO1 Job Function Software & Cloud Services

Core: Analyze business cases and identify data sources (internal/external) and data mining/analysis methods to use Develop a normalization engine to execute cleansing/deduplication for a raw data through ETL process for data sources Create, train and test predictive models to solve defined business cases Develop algorithms to apply to data sets Design data structure models for collected data Facilitate the build of a solution from PoC to production Work with business owners to gather additional information about business cases Job Specific: Work with Google Cloud data and AI tools Be ready to work in agile style (daily, sprint planning, sprint review, retrospective) Work in an environment that adapts quickly to creative change using agile principles Actively work with different development groups inside of organization Be ready to adapt a new tool/library/technology/platform Desirable Skills: Fluent in French and English At least 4 years experience in Machine learning models creation Master’s in Statistics, Mathematics, Computer Science preferred Professional Machine learning engineering certification Experience with common data science toolkits and libraries, such as pandas, keras, scipy, scikit, tensorflow, NumPy etc Knowledge and interest in the following: prediction models, Vertex AI, Tenserflow, BigQuery ML, Python, natural language processing, deep learning models, dataPROC, Hadoop, SQL Experience using statistical computer languages namely Python to manipulate data and draw insights from large data sets Strong knowledge and experience using SQL language Experience with C++/C# and Java as a plus Background in technology or professional services preferably in one or more of the domains of GCP and Security, Strong understanding of consulting business Strong structural work methods, multitasking and time management skills Self-driven independent work ethics that drives internal and external accountability May require periodic travel for workshops #LI-EO1

DATA Scientist The primary focus for a candidate will be in applying different techniques (data mining/statistical analysis/build prediction systems/recommendation systems) using large company data sets to find opportunities for services and products and using models to test the effectiveness of different courses of action. The Candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Work with business cases to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development and sales techniques Assess the effectiveness and accuracy of new data sources and data gathering Extending company’s data with third party sources of information when needed Use predictive modeling to increase revenue generation, ad targeting and other business outcomes.