Data Scientist

SDG Group is a global consulting firm focused exclusively on data & analytics solutions, covering the entire data value chain, and providing both consulting and specialization career plans for all those who want to progress in the world of data. In addition, through our Smart Work culture you will have the possibility to define the work model that best suits you and your personal needs, while at the same time being able to collaborate on high-impact initiatives for leading clients in their respective industries.

As a Data Scientist in the Data Science area, your mission will be to be part of multidisciplinary teams with the aim of helping our clients develop machine learning and artificial intelligence solutions in environments of high technical complexity, and with an end-to-end vision: from initial business analysis and experimentation, to the implementation of advanced analytics systems.

You will have the possibility to use a wide spectrum of innovative technologies to build AI solutions under various predictive analytics and deep learning paradigms, applying all this in a wide variety of industries and business contexts.

Likewise, thanks to our specialist path you will have the opportunity to grow as a data scientist, having tools and resources for your continuous learning and growth, while getting involved in different challenges that allow both SDG Group and our clients to fully exploit the infinite possibilities offered by artificial intelligence.

Responsibilities:

• Develop data-driven solutions for tough business challenges across a wide range of business domains by using state-of-the-art data science techniques and understand how to turn theory and models into business operations.
• Work with stakeholders across the organization to identify opportunities to leverage internal and external data.
• Ensure the application of the data science solution to drive value and other business outcomes, as well as support cost-saving initiatives.
• Work collaboratively with different engineering and functional teams to design and implement end-to-end advanced analytics solutions, particularly machine learning and artificial engineering, and monitor results.
• Lead the development of processes and tools to monitor and analyze the performance and accuracy of AI/ML (MLOps) systems.
• Stay up to date with the latest technology trends in AI and data science.
• Expert advice to the business in terms of opportunities, data modeling, and data science.