Data Scientist

• Frame problems, review prior art, and analyze available data to assess whether ideas are viable and worth pursuing
• Perform feature engineering and model design on behavioral financial data using gradient-boosted trees, deep learning, LLM pipelines, or agentic flows
• Lead preparation of model specifications, evaluation evidence, and risk documentation for production in a regulated environment
• Support models through production review
• Take solutions from proof of concept to live service with Engineering
• Integrate models and conduct controlled roll-outs against real customer behavior
• Monitor performance, drift, and business KPIs in production
• Continuously improve models based on production results
• Collaborate closely with Product and Engineering to move ideas from evidence through production

• Own the vision and roadmap for the data function, including the shift from classic BI to agent-based, AI-driven BI
• Set priorities in partnership with senior leadership
• Work closely with a data engineer and potentially grow the team as the function scales
• Drive adoption of AI across data workflows, including automated analyses and real-time business-question agents
• Own the semantic and metrics layer for consistent dashboard and agent definitions
• Build a git-based workflow for dashboards and queries using pull requests and agents
• Expose data to agents over MCP
• Define where AI accelerates work and where human judgment remains necessary
• Own BigQuery, dbt, pipelines, and data reliability
• Lead complex analytics, A/B testing, and impact measurement hands-on
• Define evaluations and quality metrics for AI features and agents
• Partner with product, marketing, finance, operations, and engineering to define analytical needs and solutions
• Represent the data function through senior-level data storytelling

AI Data Lead

• Develop ML and DNN solutions for the RAN domain
• Develop Proof-of-Concepts and demonstrate their advantage over standard industry algorithms
• Lead integration of developed algorithms into the company’s core technology
• Collaborate with algorithms and engineering teams to ensure smooth implementation of ML solutions
• Develop and integrate advanced ML and DNN technologies into the core product within the Radio Access Network domain
• Drive innovation across the technology stack by bringing data-driven intelligence to wireless solutions

Data Scientist jobs in Israel

Data Scientist

AI Data Lead

Senior Data Scientist