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Senior Data Scientist
hace 2 meses
We are seeking a highly skilled Senior Data Scientist to lead and execute advanced NLP projects at Wizeline. 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.
Key Responsibilities:- 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.
- 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.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and innovative work environment.
