Data Scientist, Finance

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

The Opportunity

In Adobe finance, we strive to introduce the finance of the future! The Digital Media Data Science Insights team is leading the transformation of finance through innovative data science practices.

Our mission is to reinvent finance exercises like forecasting, anomaly detection, attribution, and scenario creation at scale using the data science toolkit (python, cloud computing). This allows us to accelerate forecast cycles, surface key growth insights, and power teams to make faster, smarter decisions.

In this role, you’ll work closely with a team of data scientists to build and enhance advanced time-series forecasting models. You’ll also dive deep into massive customer-level datasets to uncover insights that inform strategic, high-stakes decisions across Adobe’s Digital Media business.If you're passionate about data science and eager to apply your skills at scale within a global technology leader, we’d love to hear from you.

What You’ll Do

• Build, optimize and manage time-series forecasting models and other predictive analytics for key topline finance metrics such as revenue and ARR.
• Navigate large and complex datasets and architect sophisticated analytics solutions to unlock strategic customer insights.
• Drive cross-functional data science projects end-to-end to support business process and decision making.
• Become an expert in Adobe finance’s data and systems. Partnering with Data Engineering, Finance, revenue operations and other teams, you’ll help the team build and refine critical data pipelines to power insights.
• Automate standardized reporting by building self-serving dashboards and other data products to track key performance indicators and enable optimal decision-making for finance leadership.

What You Need to Succeed

• BS or MS in a quantitative field, with 2+ years of experience in a highly quantitative role
• Strong proficiency in Python/R, and SQL.
• Solid understanding of statistical concepts and foundational machine learning algorithms such as linear regression; familiarity with time-series forecasting is a strong plus.
• Analytical skills and experience working with large, complex data sets.
• Excellent communication and storytelling skills when presenting data insights.
• Proactive and curious, with strong critical thinking skills and an ability to navigate ambiguity and drive projects from concept to launch.
• Exceptional attention to detail and a commitment to accuracy.
• Experience in Excel for data manipulation and knowledge of advanced formulas.

Bonus If You Have

• Experience with big data processing using PySpark or Databricks is a plus.
• Familiarity with data visualization tools like Tableau and Power BI is a plus.
• You apply first-principles reasoning to develop solutions grounded in core user requirements and practical operational context.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $192,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local law