Data Scientist jobs at Artlist in Israel, Tel Aviv District, Tel Aviv-yafo

Our products:

Motion Array: the ultimate creator hub with top-tier templates, plugins, music, SFX, footage, AI voiceover, motion graphics, and more.

As a Data Engineer, you'll play a pivotal role in crafting and maintaining robust data solutions that empower analysts, data scientists, and diverse business units. Your proficiency in Airflow, Python, and SQL will drive the development and validation of data warehouse models, ensuring data trust and elevating the delivery and quality of insights.

Wake up for this:

• Create and sustain data solutions tailored to support analysts, data scientists, and business units.
• Develop and validate data warehouse models using Airflow, Python, and SQL.
• Ensure continuous data trust and optimize insight delivery and quality.
• Develop, orchestrate, and enhance data pipelines organization-wide, ensuring seamless data ingestion and transformation.
• Collaborate effectively with stakeholders, including data developers, systems analysts, data scientists, and software engineers

• BA/B.Sc. graduate in industrial/information systems engineering, computer science, statistics, or equivalent
• A data engineer with 5+ years of experience in similar roles, including some experience as a senior developer working on an end-to-end pipeline from demand to insight delivery
• Hands-on actual work experience with a programming language (Python)
• Highly skilled with SQL - Must
• Working with orchestration tools (Airflow)
• Experienced with AI integrations (agents, MCP, LLM models) - Advantage
• Experienced with DBT - Advantage
• Experienced with MPP columnar databases like Snowflake, BigQuery, etc.
• English at a high level (both written and spoken)

We do this by giving them the best music, footage, sound effects, and templates around. We also revolutionized the industry with a radical new music licensing model that has since become the global standard.

Our products:

• Artlist: an all-in-one platform for video creation, including high-quality and curated royalty-free music, SFX, footage, templates, plugins, and more.
• Motion Array: the ultimate destination for creators, including high-quality video templates by the world’s top motion designers, presets, plugins, music, SFX, stock footage, graphics for design, motion graphics, and stock photos.

Wake up for this:

• Design, develop, and deploy machine learning algorithms from inception to production, leveraging machine and deep learning frameworks
• Build tools and infrastructure for the team, mentor team members
• Work collaboratively with product managers to define problems, identify solutions, and iterate on feedback to refine those solutions.
• Deliver end-to-end machine learning-based features at a rapid pace, ensuring high-quality and impactful user experiences.
• Engage in research and application of cutting-edge technologies, including Multimodal models, and large language models (LLMs), to drive innovation within our platform.
• Contribute to developing recommender systems and search functionalities, enhancing user engagement and satisfaction.

• At least 5 years of experience as a Data Scientist, with a proven track record of delivering machine learning algorithms to production.
• Hands on experience with recommendation system development
• Extensive knowledge of ML disciplines and algorithms - able to manage research in a large scale
• Excellent programming skills in Python, SQL
• Proficient in PyTorch, GPU computing, Scikit-learn, or other ML frameworks
• Familiar with cloud services such as Amazon SageMaker and Vertex AI pipelines, as well as architecting solutions
• Experience in developing recommender systems, search algorithms - a plus
• Experience with multimodal models - a plus
• Creativity and a passion for music and art - a plus
• Excellent teamwork skills, with experience working closely with product managers and other stakeholders to deliver user-centric solutions.
• A team player who is also self-sufficient, able to work independently as well as part of a diverse team.