The ChallengeIn Adobe finance, we strive to introduce the finance of the future! We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ground-breaking, predictive techniques for forecasting customer retention metrics, units, and ARR. This role is fitting for an individual who enjoys working with, cleaning and manipulating large datasets, and can derive insights using statistical and machine learning models. This position maintains lots of exposure to cross functional organizations and access to senior management.
What you'll do A Finance Data Scientist within Adobe's Creativity & Productivity FP&A (Financial Planning and Analysis) team partners with finance and business stakeholders to understand, and then develop and enhance the existing or proposed forecasting process, optimizing and refining by leveraging automation and AI/ML techniques.
This role has the opportunity to present and showcase findings and improvements to senior leadership, which is unique for this type of role in finance organizations.
In our team, we're committed to delivering actionable insights in a manner that is accurate and efficient. This role represents an end-to-end data scientist involved in every facet of every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:
- 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 the root causes of changes in metrics, and continually keep an eye on how to continuously "Create the Future" and further enhance forecast algorithms
- Work with the PowerBI team to deliver requirements to create and maintain dashboards tracking key indicators
- Partner with Finance and other teams to build data science models to solve a wide breadth of business challenges
- Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities
- Analyze data to identify or resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes.
- Prepare analytical reports to document financial models and data processes.
- Demonstrate strong 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
- Be a change agent, ensuring users adopt new and innovative technologies
What you need to succeed - Strong proficiency in SQL and Python; R is a plus.
- Experience in data cloud platform (eg. 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 dig-in, understand the data, and to use creative thinking and problem-solving skills are musts
- History of deriving and communicating actionable insights from analysis projects to product and/or business leaders
- Degree in a quantitative field like statistics, economics, applied math, operations research or engineering preferred, or related work experience
- 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
