Summary
Julia S is a data scientist and analytics leader with 12 years of experience, blending product analytics, marketing measurement, and data engineering across B2B and B2C products. She has built marketing analytics stacks from tracking to KPI reporting and automated pipelines for mobile and web, and led analytics teams and consulting engagements for early-stage startups. Her recent work at Meta focuses on AI infrastructure and offline inference, following hands-on roles designing LTV models, A/B testing frameworks, and executive dashboards. Proficient in Python, SQL and multiple visualization tools, she’s pragmatic about production-ready solutions and enjoys experimenting with new tools to boost team efficiency. With dual economics/econometrics degrees and a background in community-driven software groups, she pairs quantitative rigor with a developer’s curiosity and a knack for translating data into actionable product decisions.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Econometrics and Quantitative Economics, Bachelor of Science - BS, Econometrics and Quantitative Economics at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Master of Science - MS, Economics, Master of Science - MS, Economics at Luiss Guido Carli University
Russian, English, German, French