
Senior Research Scientist
- Madrid Valladolid
- Permanente
- Tiempo completo
- Develop and apply machine learning innovations to business problems with minimal technical supervision.
- Assess your own and others' results to understand their applicability in the real world.
- Understand stakeholders' requirements and communicate results and conclusions accurately, clearly and winsomely.
- Perform feasibility studies and analyze data to determine the most appropriate solution.
- Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
- Maintain and develop data and software with high-quality standards and minimal defects.
- Collaborate with technical colleagues on the integration and deployment of ML solutions.
- Encourage team building, motivation and cultivate effective team relations. Bachelor's degree in computer science or an equivalent numerate discipline
- Bachelor's degree in computer science or an equivalent numerate discipline
- Demonstrated senior-level experience in Machine Learning and Deep Learning using Pytorch
- Experience performing EDA with large datasets and writing production-grade code
- Ability to understand scientific papers and develop the idea into executable code
- Analytical mindset, problem solving and logical thinking capabilities
- A high level of interpersonal and presentation skills in English across cultures
- Strong ability to meet deadlines.
- Keen to work as part of a diverse team of international colleagues and in a global inclusive culture
- Python, Pytorch, Git, pandas, sklearn, huggingface
- A minimum of 7 years' experience with evidence in a related ML field
- Master's degree and/or specialization courses in ML/DL/NLP. PhD in science is an added value.
- Experience in MLOPs
- Understanding and practice of Generative AI (prompt engineering, RAG).
- A practical grasp of databases (SQL, ElasticSearch) and Databricks
- Experience in retail, consumer, ecommerce, business, FMCG domain.
- Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
- Recharge and revitalize with help of wellness plans made for you and your family.
- Plan your future with financial wellness tools.
- Stay relevant and upskill yourself with career development opportunities
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)