5 часов назад
Applied Data Scientist, Marketing Science
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Data Scientist, Marketing Science (Marketing Analytics): Building production-grade marketing measurement and optimization products, including attribution models, media mix modeling, incrementality testing, and forecasting systems, with an accent on statistical modeling, machine learning, and real-time analytics. Focus on deploying models, creating scalable data pipelines and APIs, and solving complex measurement challenges that shape marketing ROI and budget allocation.
Location: Jerusalem, Israel; hybrid work with attendance at the Jerusalem office twice a week on Mondays and Wednesdays is required
Company
builds an AI operating system for ecommerce brands, combining business data, measurement, analytics, and automation.
What you will do
- Build marketing measurement and optimization products, including attribution models, media mix modeling, incrementality testing, and forecasting systems.
- Develop and deploy statistical and machine learning models to production.
- Create scalable data pipelines and APIs for real-time analytics.
- Translate business questions into analytical solutions in partnership with Product, Engineering, and other stakeholders.
- Own features end to end, from statistical design and validation through deployment, monitoring, and iteration.
Requirements
- 4–7 years of experience in applied data science.
- Ability to work from the Jerusalem office twice a week is required.
- Strong Python skills, including pandas, scikit-learn, and statistical libraries.
- Experience deploying models to production, with solid statistics and machine learning fundamentals.
- SQL and database experience, plus experience building APIs or backend services.
- Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Data Science, or another quantitative field; strong English communication skills.
Nice to have
- Marketing analytics experience in attribution, experimentation, or measurement.
- Bayesian statistics or causal inference experience.
- Cloud platform knowledge with GCP, AWS, or Azure.
- Time series analysis and forecasting experience.
Culture & Benefits
- End-to-end ownership from statistical design to production deployment.
- Opportunity to work on customer-facing systems with direct impact on marketing measurement and investment decisions.
- Fast-moving, product-driven environment where work ships quickly.
- Values centered on customer impact, speed, trust, curiosity, integrity, and empathy.
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