Senior data scientist at Publicis Global Delivery | Torre
Senior data scientist
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Publicis Global Delivery

Senior data scientist

Publicis Global Delivery
Posted by
Julieta Analía Lenczner
Natalia Botero Penagos
Former Torrex
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(2.4K) info
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We build performance-driven production solutions that help leading brands win in the platform world.
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Full-time

Legal agreement: Employment

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+ Access to Prepaid Medical Plan provided by Prodigious.

+ Employee engagement activities and events.

+ 100% remote work (office access in case you needed)

+ Flexible Schedule.

+ Technical trainings, soft skills development, technical certifications, access to online libraries and e-learning platforms.

+ English language training by a professional language teacher.

+ You will have a coach that will support and help you grow.

+ Attend conferences, training and more (in COL or other countries).

+ Help others get better: conducting training and get rewarded for it.

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Remote (for Colombia residents)
Remote (for Argentina residents)
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Posted over 4 years ago

Requirements and responsibilities

🚀 Role Scope: ⚡ As a data scientist, you will solve business and marketing challenges complex, from the optimization of the customer experience and the means of various channels to segmentation, targeting, and business strategy, by accessing, integrating, manipulating, extracting, and modeling a wide range of sources of data. ⚡ Our data scientists offer analytical solutions in a wide variety of customer applications. We create predictive models, including machine learning algorithms and artificial intelligence; we process, integrate, and manipulate big data with distributed systems and pipelines customer data; We synthesize the results and translate the findings into compelling stories that resonate with customers. 🚀 Responsibilities: ⚡ Use distributed computing systems to extract and integrate sources of big data. ⚡ Conducting extensive exploratory analysis to identify insights relevant, useful transformations, and analytical applications. ⚡ Apply quantitative techniques, including statistics and learning automatic, to discover latent patterns in the data. ⚡ Build and test scalable models or data pipelines to real-time applications. ⚡ Summarize, visualize, communicate and document concepts, processes, and analytical results for technical and non-technical audiences. ⚡ Collaborate with internal and external stakeholders to establish clear analytical objectives, approaches, and timelines. ⚡ Share knowledge, discuss techniques and conduct research to advance the collective knowledge and skills of our practice of data science.
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