Data Science Engineer

Data Science / Forecasting Analyst

ABOUT THE TEAM

The Digital Media Web Analytics & Data Science team sits at the center of Adobe.com's growth engine. We partner cross-functionally with Finance, Product, Marketing and GTM teams to forecast traffic and conversion, quantify the drivers of growth, and build the analytical and AI-powered tools that help the broader organization make faster, data-backed decisions across Adobe's Digital Products.

THE ROLE

We're looking for a Data Science / Forecasting Analyst to join our team and help build and maintain the statistical models, forecasts, and AI-powered tools that guide Adobe.com's traffic and conversion planning. You'll work closely with senior data scientists to gather and analyze data from multiple sources, contribute to the quarterly forecasting and target-setting process, and build LLM-based applications and agents that make insights self-serve for business stakeholders. This is a great opportunity for someone with a strong quantitative foundation and hands-on coding experience who wants to grow into a broader data science and AI-tooling role at scale.

KEY RESPONSIBILITIES

• Gather, clean, and analyze data from Adobe Analytics / Customer Journey Analytics (CJA), Databricks/SQL tables, and other internal sources to support traffic and conversion forecasting for Adobe.com.
• Build, maintain, and improve Python-based statistical forecasting models across dimensions such as channel, geography, and device.
• Support the quarterly forecasting and target-setting process, helping scope enhancements and validate forecast accuracy against actuals & financial targets.
• Conduct performance deep-dives into traffic, conversion, and funnel metrics to diagnose the drivers behind trends and anomalies, and translate findings into clear, actionable stakeholder narratives.
• Support A/B test design, execution, and analysis - from hypothesis formulation through statistical read-out - to validate growth hypotheses and quantify the impact of website/product changes.
• Design, prototype, and ship LLM-based applications, chatbots, and AI agents/skills that enable stakeholders to query performance data, generate insights, and automate recurring reporting via natural language.
• Contribute to anomaly detection frameworks that proactively flag irregularities in traffic and order trends.
• Automate recurring reporting workflows to reduce manual effort and improve turnaround time for weekly and monthly business readouts.
• Partner with Finance, Product, and GTM teams to understand business context, gather requirements, and translate analysis into clear, actionable recommendations.
• Present findings and forward-looking commentary to stakeholders in a clear, structured, and data-driven manner.
• Continuously evaluate new data sources, tools, and modeling techniques (including applied LLM/GenAI methods) to improve forecasting accuracy and analyst productivity.

REQUIRED QUALIFICATIONS

• Bachelor's/Masters degree in Computer Science, Statistics, Economics, Data Science, Engineering, or another relevant quantitative field.
• 2-5 years of relevant experience in data analysis, data science, or forecasting - experience in a Web/Digital/GTM environment is a strong plus.
• Hands-on, production-level proficiency in Python (pandas, NumPy, and standard statistical/ML libraries) and SQL for data extraction, transformation, and analysis.
• Demonstrated experience building LLM-based applications - e.g., chatbots, AI agents, retrieval-augmented generation (RAG) pipelines, prompt-engineered tools, or automation "skills" - with a portfolio or examples you can walk through.
• Basic understanding of A/B testing / experimentation design (hypothesis formulation, statistical significance, read-out).
• Strong analytical and problem-solving skills, with the ability to translate data into a clear narrative for both technical and non-technical audiences.
• Hands-on experience with ML techniques such as regression and clustering is a good to have. Working knowledge of statistical forecasting concepts and applied methods.
• Hands-on experience with Adobe Analytics and/or Customer Journey Analytics (CJA) is a plus.
• Working knowledge of the web/digital marketing domain e.g., funnel metrics, page performance metrics, channel attriburion
• Working exposure to Databricks (or similar cloud-based data/lakehouse platforms) for querying and analyzing large-scale datasets.
• Proficient in Microsoft Excel and PowerPoint - expert at creating and using Excel pivot tables to drive analytics.
• Experience with data visualization tools, such as Tableau, Power BI, etc. is a plus.
• Excellent organizational and time-management skills; comfortable managing multiple deliverables in a fast-paced, cross-functional environment.
• Strong verbal and written communication skills.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.