At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.

We seek a Data Scientist who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.

As a Data Scientist, you are responsible for the development, validation, and operationalization of machine learning models to solve complex business problems. This role requires in-depth knowledge of statistics, machine learning, data analysis, and software development. You will work closely with data engineers, business departments, and product teams to enable data-driven decisions and create innovative, AI-powered solutions.

Key Responsibilities:

• Development and validation of machine learning models to solve complex business problems.

• Collaboration with data engineers and product teams to operationalize ML models.

• Application of statistical modeling methods and complex ML algorithms.

• Translation of complex business and research requirements into mathematical optimization problems.

• Development of production-ready models with Tensor Flow, Py Torch, and Spark MLlib, including hyperparameter tuning and cross-validation.

• Efficient use of Metaflow for versioning, reproducibility, and scaling of ML workflows.

• Application and evaluation of Foundation Models (LLMs, Diffusion) for various use cases.

• Comparison of classic ML methods with GenAI to solve concrete business questions.

• Integration of LLMs into existing ML pipelines for feature generation and document analysis.

Must-have experience:

• More than 5 years of professional experience as a data scientist in machine learning context.

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.

• Comprehensive knowledge in the development, validation, and application of ML models.

• Profound experience with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.

• Excellent skills in data wrangling with complex, distributed data sources.

• In-depth application of statistical modeling methods (Bayesian Inference, multivariate statistics).

• In-depth knowledge of complex ML algorithms (Ensemble Learning, Semi-Supervised Learning, Reinforcement Learning).

• Experience in the mathematical derivation of algorithms and optimization strategies.

• Ability to translate complex requirements into mathematical problems.

• Scripting skills in at least one programming language (e.g., Python, R).

• Fluent in German and English.

This job can be filled in Berlin Or Stuttgart #Hybrid.

Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.

*We may use AI and machine learning technologies in our recruitment process. *Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide.