Data Scientist (GCP)

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 team at Globant!

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.
• 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:

• English communication skill is a must (B2 or upper).
• Experience with generative AI models based on text or with building applications using Google Cloud Platform (GCP) is a must.
• Strong experience with data analysis and statistical modeling
• Proficiency in programming languages like Python or R
• Experience with machine learning algorithms (e.g., regression, classification, clustering)
• Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn)
• Expertise in SQL for data querying and manipulation
• Experience with big data technologies (e.g., Hadoop, Spark)
• Strong understanding of data cleaning and preprocessing techniques
• Ability to work with cloud platforms (GCP) for data storage and processing
• Experience with data pipelines and ETL processes
• Strong understanding of statistical concepts and ability to interpret and present complex results

Job Segment: Data Scientist, Machine Learning, Python, SQL, Big Data, Cloud, Data Visualization, Analytics