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Data Scientist

hace 2 semanas


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**Nombre de vacante**
- Data Scientist

**Advert**
- People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it
At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites.

**Descripción**
- The role is focused on the creation and administration of predictive models to support decision-making, statistical analysis. Build and deliver data science models that drive value following best-practices and standards (revenue upturn, cost decrease and/or customer engagement improvements), using Data Office Assets working closely with other colleagues in the team. The creation of clean datasets as a basis for analysis and the creation of models from raw data will be the most time-consuming activity. The Data Scientists will also have to deal with unbalanced datasets.
Must be:

- BS Telecommunications/Software Engineer/Mathematics or related technical degrees.
- 2+ years of work experience in data analytics, Process Mining and/or consulting
- Having hands on experience with: R or Python (preferred), standard Data Science stack like Pandas, numPy, sci-kit learn, etc
- Visualization tools like Qlik, Tableau, PowerBI (good to have)
- Experience with database technologies, SQL, ETL, data modelling and analytics
- Proficient in spoken and written English
- Experience in statistics (good to have)
- Cloud platforms like GCP, AWS, Azure, etc. (good to have)
- Experience in agile way of working
- Software Development and Design skills
- Control version
- Storytelling with data
- Strong communication skills with ability to influence senior stakeholders

LI-AG1

**Responsabilidades principales**
- Identification of relevant data for algorithms
- Data mining and transformations of data
- Building machine learning algorithms
- Building of statistical models
- Visualization of data
- Identifications of trends
- Solve problems analytically