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Tier-1 brand, mid-level (2–5 yrs), metro location, and broad skillset increase competition.
Requires specialized forecasting and web analytics skills, moderately transferable across industries.
Explicit 2–5 years plus mandatory Python/SQL, forecasting, and LLM experience increases filter strictness.
Build, maintain, and improve Python-based statistical forecasting models to support Adobe.com traffic and conversion planning.
Develop LLM-based applications, chatbots, and AI agents to automate reporting and enable self-serve data insights for stakeholders.
Conduct data analysis, performance deep-dives, A/B test support, and collaborate on forecasting processes and business recommendations with cross-functional teams.
Bachelor's or Master's degree in Computer Science, Statistics, Economics, Data Science, Engineering, or a related quantitative field.
2-5 years experience in data analysis, data science, or forecasting; experience in Web/Digital/GTM domain preferred.
Strong hands-on proficiency in Python (pandas, NumPy, ML libraries) and SQL for data extraction and analysis.
Demonstrated experience building LLM-based applications such as chatbots or AI agents.
Experience working cross-functionally with Finance, Product, Marketing, and GTM teams to translate data into business insights and forecasts.
Operating style focused on hands-on coding and model building combined with strategic contributions to forecasting and AI tooling.
Domain knowledge in web/digital marketing analytics including funnel metrics and use of platforms like Adobe Analytics and Databricks to handle large-scale data.