Location: Barcelona, Spain (Hybrid) Company: Wizeline Job Overview: We are seeking a Senior Data Scientist who specializes in Natural Language Processing to lead and execute advanced NLP projects.
The ideal candidate will have a minimum of 5 years of experience in applying NLP techniques to solve complex problems, and a deep understanding of machine learning, statistical analysis, and data modeling.
This role involves working closely with cross-functional teams to develop and implement NLP models that drive our strategic objectives.
Key Responsibilities: Lead and manage NLP projects from conception through deployment, including data collection, preprocessing, model training, and evaluation.
Develop and implement advanced NLP algorithms and models, such as sentiment analysis, named entity recognition, and language generation.
Analyze large volumes of textual data to extract meaningful insights and drive business decisions.
Collaborate with data engineers, software developers, and product managers to integrate NLP solutions into existing systems and applications.
Stay up-to-date with the latest advancements in NLP and machine learning, and apply new techniques to improve model performance.
Mentor and guide junior data scientists and team members, providing expertise and support as needed.
Communicate findings and recommendations to stakeholders through detailed reports and presentations.
Qualifications: Advanced English and Spanish Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.
Proven track record of leadership and technical expertise within the field of machine AI, ML or data science, with at least 3 years of leadership experience.
Proficiency in Python and/or other high-level programming languages commonly used in machine learning.
Proven experience with ML and NLP frameworks and libraries (e.g.
PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.).
Demonstrated expertise in information retrieval, utilizing NLU techniques for structured data extraction.
Experience with LLMs APIs, including pre-processing and deployment on cloud-based infrastructure.
Proficiency in Git for collaborative project development and version control.
Proficiency in cloud-based infrastructure and managing large datasets.
Familiarity with software engineering best practices, ensuring the development of secure, scalable, and efficient production systems.
Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
What We Offer: Competitive salary and benefits package.
Opportunities for professional growth and development.
A collaborative and innovative work environment.