Required Data Science Intern - Master's / PhD Student
Tel Aviv
Join us and be part of a leading force in the analytics industry. Our developer-first approach in embedded analytics offers a distinctive and stimulating environment for technology professionals.
Position Overview:
Join us as a Data Scientist Intern where you'll dive into the fascinating world of AI, particularly Large Language Models (LLMs). This role is ideal for those passionate about data-driven insights and eager to contribute to the development of cutting-edge AI technologies.
Key Responsibilities:
Data Exploration: Delve into complex datasets to uncover patterns and insights,
Algorithm Enhancement: Support the refinement of algorithms that power LLMs, focusing on optimizing accuracy and efficiency.
Cross-Functional Collaboration: Engage with diverse teams, including engineers and product managers
Rigorous Testing: Conduct testing, validating robustness and reliability, and document your findings for stakeholder review.
Effective Documentation: Develop clear, concise reports and presentations to communicate complex data and model behaviors across various audiences.
Internship Duration:
6-month period, adaptable to academic commitments and project demands.
Part-time position at 80% of full-time.
Requirements: Enrolled as a Masters or Ph.D.student or a recent graduate of a Computer Science, Data Science, Mathematics, Statistics, or related program.
Solid foundation in machine learning, NLP, LLMs,, and statistical analysis.
Proficiency in programming (Python, R) and AI/ML tools.
Strong analytical and problem-solving capabilities.
Self-driven with the ability to thrive in both solo and team settings.
Clear and articulate communication skills.
Preferred Experience:
Understanding of LLMs and related technologies.
Skills in data visualization tools and methodologies.
Proficiency in SQL for database management and data manipulation.
Experience with big data technologies (e.g., Spark, Hadoop).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
familiarity with frameworks and languages like React, TypeScript, Angular or Vue.
This position is open to all candidates.
