The position

We are looking for a Senior Data Scientist to join the Enterprise Data Science Group - an outstanding data scientist who thrives on tackling complex problems that don’t work out-of-the-box with vibe coding, coding solutions end-to-end, and shaping how machine learning and AI drive business value at scale.

We embrace a flexible hybrid work from our newly renovated Tel Aviv headquarters and prioritize employee well-being through team breakfast gatherings, an on-site gym, and private health insurance.

Highlights:

• Work on a diverse set of projects that create real-world impact. One of the truly unique aspects of our domain is the diversity of data, ML, and AI challenges we work on.
• Collaborate with amazing talent, participating in and leading projects such as agentic workflows and LLMs pipelines, RAG systems, classical ML, recommender systems, entity resolution, and more.
• Opportunity to regularly present your work and grow your leadership skills.
• Explore new technologies and tools to incorporate in our evolving tech stack.
• We are a medium-size team (approx. 20 people) where people have great relationships, working collectively and with colleagues abroad to impact a multi-billion dollar business.
• Opportunity to be part of a strong, fun, and collaborative team culture.
  
  

On a typical day, you will:

• Work on the full ML and GenAI lifecycle including data processing, exploratory data analysis, benchmark creation, feature engineering, diverse LLMs and agents, modeling/fine-tuning, evaluation, and more.
• Ensure reliable model deployment and continuous monitoring, seeing most of your projects go beyond the research phase and into production.
• Collaborate closely with talented colleagues including DSs, engineers, and product.
• Grow your skill set in predictive modeling, modern AI and DS approaches, workflow automation, combining use of unstructured and structured data, and more.
  
  

We are looking for:

• 3+ years of industry experience
• Significant hands-on experience with ML and the GenAI stack
• Deep knowledge of the machine learning cycle (EDA, feature engineering, modeling, evaluation, etc.)
• Strong coding skills in Python and SQL
• Experience with data and ml frameworks. Examples include sklearn, plotting libraries, spark, etc.
• Experience with AI/ML in cloud production environments (AWS, GCP, Databricks, Azure, etc.)
• Excited to work as a team member with data scientists and engineers
• BSc degree (MSc advantage) in computer science, mathematics, or other STEM fields