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Rotem Margalit

Data Scientist · Production ML · Multi-Agent Systems · A2A & MCP

Rotem Margalit is a Data Scientist based in Israel, focused on production machine learning, AI agents, multi-agent systems, and applied AI. He builds AI systems that move from prototype to production, using Python, Kubernetes, Terraform, MCP, A2A, graph algorithms, and modern ML workflows.

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About

I build data science and AI systems that reach production. At Paycor, I own the full lifecycle of ML initiatives and multi-agent platforms — framing problems, prototyping models, and deploying solutions inside real business workflows.

I design agent-native infrastructure on Kubernetes and Terraform: an orchestrator agent coordinates specialized sub-agents over the Agent-to-Agent (A2A) protocol, with Model Context Protocol (MCP) servers exposing tools and context to the agent graph.

Before industry, I spent two years as an algorithms researcher at Ben-Gurion University, developing social network analysis methods on large-scale graphs. Teaching deep learning and algorithms to graduate students sharpened how I communicate complex ideas to both technical and non-technical stakeholders.

I hold an M.Sc. in Data Science from BGU's selective Meitar fast-track program, with a thesis in graph-based bibliographic data analysis. My work spans Python, R, and SQL across machine learning, NLP, graph algorithms, agent orchestration, and statistical modeling.

Experience

Data Scientist — Paycor

Jan 2023 — Present · Center District, Israel

  • Built production multi-agent infrastructure on Kubernetes and Terraform — an orchestrator agent coordinates specialized sub-agents via the Agent-to-Agent (A2A) protocol.
  • Integrated Model Context Protocol (MCP) servers as standardized tool and context surfaces for agent workflows.
  • Own end-to-end data science and AI initiatives — from problem framing and PoC through production deployment.
  • Design and ship AI-driven solutions for complex HR and workforce analytics at scale.

Data Scientist — getWizer

Jan 2021 — Oct 2022 · Herzliya, Israel

  • Built and deployed ML models powering a consumer insights SaaS platform used by global brands.
  • Delivered end-to-end pipelines spanning experimentation, modeling, evaluation, and production integration.
  • Turned raw survey and behavioral data into actionable product intelligence for marketing teams.

Algorithms Researcher — Ben-Gurion University of the Negev

Oct 2018 — Oct 2020 · Be'er Sheva, Israel

  • Developed social network analysis algorithms on large-scale graph data to identify influential nodes across multiple application domains.
  • Implemented high-performance solutions in D, Python, and R.

Teaching Assistant & Tutor — Ben-Gurion University of the Negev

2017 — Oct 2020 · Be'er Sheva, Israel

  • Faculty member for graduate-level Deep Learning — feed-forward networks, CNNs, and LSTMs for NLP.
  • Assisted with Foundations of Algorithms and Complexity — reductions, complexity analysis, and algorithm design.
  • One-on-one tutoring for Data Structures, mentoring students through core CS fundamentals.

Education

M.Sc., Data Science

Ben-Gurion University of the Negev · 2018 — 2020

Meitar fast-track program for outstanding students, Department of Industrial Engineering. Thesis: graph-based cataloging of bibliographic data and extraction of structured insights at scale.

B.Sc., Industrial Engineering and Management

Ben-Gurion University of the Negev · 2015 — 2019

Information Systems specialization — combining engineering rigor with data-driven decision making.

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