Data Scientist

Qualifications

• 5-7 years of experience in machine learning and natural language processing (NLP) with a focus on text mining and computational linguistics.
• Proven track record in developing machine learning models within a production environment.
• Hands-on experience with deep learning techniques, particularly in NLP.
• Advanced Python programming skills specific to data analysis.
• Fluency with Keras or TensorFlow is essential.
• Experience managing and analyzing large datasets (10 million+ rows).
• Effective communicator with the ability to explain complex mathematical concepts to non-technical stakeholders.
• Familiarity with agile development methodologies.

Responsibilities

• Collaborate with data scientists and engineers on innovative product development.
• Develop and enhance methodologies and algorithms using machine learning and AI techniques.
• Conduct experiments and improve existing models through A/B testing.
• Work on diverse projects, including text classification and big data analytics.
• Assist in the design of experiments to validate product hypotheses.

Benefits

• Opportunity to work on state-of-the-art innovations in machine learning and NLP.
• Collaborative work environment with experienced peers in data science and engineering.
• Access to cutting-edge tools and technologies in AI and big data.
• Support for continuous learning and professional development, particularly in advanced AI techniques.