Derevo

Data Scientist Mid- Generative AI

PythonSQL
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About the opportunity

At Derevo, we empower companies and individuals, unlocking the value of our clients' data and enhancing the talent of those who transform it. 🚀

With over 15 years of experience, we design end-to-end data and AI solutions: from integration into modern architectures to the implementation of intelligent models in key business processes.

If you are passionate about the world of data and innovation, this could be your moment! 🙌

We are looking for your talent as a Data Scientist!! ✋👀

Become derevian & develop your superpower!

What will be your mission?

You will create intelligent solutions that combine advanced analytics with Generative Artificial Intelligence to solve real business challenges. You will transform data into decisions, developing in Python on Azure environments and applying AI models that generate tangible value for our clients. You will design, test, and deploy solutions that take data innovation to the next level.

👩‍💻💻 How will you do it?

You will carry out developments, research, analysis, and other activities assigned by your team leader or project manager.

  1. You will develop projects in Python that use Generative Artificial Intelligence to answer business questions based on client data.
  1. You will apply your ability to select, implement, and evaluate algorithms—whether those you master or those defined by your leader—performing the necessary tests to determine their effectiveness in each project, including ensemble methods or automatic model selection.
  1. You will prepare the technical and functional documentation for the projects, including solution diagrams, installation manuals, user guides, and results reports.
  1. You will follow the established training plan, obtaining the corresponding certifications in a timely manner.
  1. You will provide technical support, when requested, in prospecting processes or sales meetings, contributing your knowledge to generate value in the proposed solutions.

✅Your benefits with Derevo

  • WELLNESS: We will promote your integral well-being through personal, professional, and economic balance. Our legal and additional benefits will help you achieve it.
  • LET'S RELEASE YOUR POWER: You will have the opportunity to specialize comprehensively in different areas and technologies, achieving interdisciplinary development. We will encourage you to take on new challenges and surpass yourself.
  • WE CREATE NEW THINGS: We like to think outside the box. You will have the space, trust, and freedom to create, along with the necessary training to achieve it.
  • WE GROW TOGETHER: You will participate in cutting-edge, multinational technological projects with international teams.

🏡 Where will you do it?

We are a large team working remotely; we are flexible and structured, providing the necessary equipment to work and internal communication tools that facilitate our operations and those of our clients.

If you meet most of the requirements and are interested in the profile, don't hesitate to apply, and our Talent team will contact you! 😄🙌

Minimum requirements

🌟 What do we ask for?

For you to join and feel right at home as a Data Scientist at Derevo, here's what we'll consider:

  1. Proficiency in English at an intermediate/advanced level (technical and business conversations, B2 or higher).
  1. At least one year of experience in professional Data Science or Generative AI projects.
  1. Proficiency in programming with Python.
  1. Use of OpenAI in Python projects.
  1. Prompt Engineering for use in Generative AI.
  1. Knowledge of the Azure environment, especially Azure AI Foundry.
  1. Clear understanding of applied Probability and Statistics.
  1. Machine learning and its applications, as well as knowledge of the main analytics groups.
  1. Databases with table design and creation, as well as queries with SQL.
  1. Understanding of client requirements.
  1. Understanding of data architecture.
  1. Understanding of data.
  1. ETL process, intermediate database management.
  1. Creation and management of databases on various platforms.
  1. Downloading from multiple sources.
  1. Data blending.
  1. Creation of advanced analytics models.
  1. Performance testing of advanced analytics models.
  1. Deployment of advanced analytics models in cloud test, staging, and production environments.

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