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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.

We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.