Data Scientist

We are a digitally native technology services company where innovation, design and engineering meet scale. We use some of the latest technologies in the digital and cognitive field to empower organizations in every aspect.

Right now, we are looking for Data Scientists to join our Data&AI studio! 

You will get the chance to:

• Work with professionals who have created some of the most revolutionary solutions in their fields.

• Make an impact. Work in large-scale projects globally.

• Develop your career in our Studios. Each Studio represents deep pockets of expertise on the latest technologies and trends and delivers tailored solutions focused on specific challenges.

• Develop your career within an industry or multiple industries.

• Work in the city you want, and be nourished by cultural exchanges.

• Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work.

• Be part of an agile pod. Driven by a culture of self-regulated teamwork, each team -or POD- works directly with our customers with a full maturity path that evolves as they increase speed, quality and autonomy.

What will help you succeed:

• Upper intermediate English level

• 8+ years writing production-level (Object Oriented Programming and Design Patterns), scalable code (e.g. Python, Scala)

• 8+ years of experience developing algorithms for deployment to production systems

• In-depth understanding of modern machine learning (e.g. deep learning methods) and frameworks (e.g. Tensorflow, PyTorch)

• 5+ years of experience deploying and maintaining large scale machine learning model pipelines and engineering big-data solutions using relevant technologies like AWS, Docker, Airflow, Databricks, S3, and Spark

• Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)

• Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate

• Ability to explain how models are used, and algorithms behave to both technical and non-technical audiences

• Experience on the required ML infrastructure for a continuous improvement and deployment ML model

• Solid experience debugging and troubleshooting issues in complex model deployment in production

• Proficiency in reverse engineering code to understand its structure, dependencies, and functionality.

• Experience in navigating and troubleshooting within complex, distributed, and interacted infrastructure environments.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud. 

• Familiarity with containerization technologies like Docker and Kubernetes.

At Globant we believe that an inclusive culture and a diverse environment makes us stronger. We encourage people to have an inclusive spirit as our global footprint expands. We seek to generate a place of inspiration and growth for everyone. A safe space, based on equity as a value, where everyone's careers can be promoted and developed in the same way. There is no innovation without diversity and there is no improvement without plurality.

Are you ready?