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About the Role

Adobe Finance is seeking a data scientist to join the Creativity & Productivity finance team to refine and implement predictive techniques for forecasting customer retention metrics, units, and ARR. This role offers exposure to cross-functional organizations and senior management.

Responsibilities

• Drive data science modeling initiatives for forecasting and analysis.
• Automate, enhance, and maintain analytic applications and data structures used for modeling and forecasting.
• Monitor weekly performance, understand root causes of metric changes, and enhance forecast algorithms.
• Work with the PowerBI team to create and maintain dashboards tracking key indicators.
• Partner with Finance and other teams to build data science models to solve business challenges.
• Analyze business or financial data to provide insights to finance leadership on process & system automation opportunities.
• Analyze data to identify or resolve operational problems and create processes to reverse engineer data flows and source-to-target mappings.
• Prepare analytical reports to document financial models and data processes.
• Demonstrate intellectual curiosity towards enhancing current methodologies and processes.
• Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts.
• Act as a change agent, ensuring users adopt new and innovative technologies.

Requirements

• Strong proficiency in SQL and Python; R is a plus.
• Experience in data cloud platforms (e.g., Databricks, AWS, Snowflake).
• Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis.
• Proficiency with data visualization tools (e.g., Power BI, Tableau).
• Experience exploring large amounts of information, extracting insights, and achieving real-world results.
• Ability to understand data, and use creative thinking and problem-solving skills.
• History of deriving and communicating actionable insights from analysis projects to product and/or business leaders.
• Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus.
• Understanding of Version Control frameworks such as GitHub is a plus.
• Knowledge of customer cancellation forecasting and cohort retention is a plus.

Skills

• SQL
• Python
• R
• Databricks
• AWS
• Snowflake
• Machine Learning
• Supervised Learning
• Time-series analysis
• Power BI
• Tableau
• Data Visualization
• Data Analysis
• Problem-solving
• Communication
• Power Query
• M/DAX
• GitHub
• Customer Retention Forecasting
• Cohort Retention

Location

• US

Work Type

• Full-time

Experience Level

• Data Scientist

Education Level

• Degree in a quantitative field like statistics, economics, applied math, operations research or engineering preferred, or related work experience.

Salary/Compensations

• $133,100 -- $236,400 annually
• $163,200 - $236,400 (California)
• $157,900 - $228,575 (Washington)

Benefits

• Comprehensive benefits programs

About the Company

• 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.
• 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.

Equal Opportunity

• Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.
• Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
• 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 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.
• California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
• Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
• Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.