Senior Data Scientist - Forecasting

Adobe•San Jose, CA

11d

About The Position

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! In joining Adobe’s Worldwide Digital Media Finance organization, you will have the opportunity to serve as a Sr. Data Scientist embedded in our FPA& team within the largest business unit at Adobe ($17.5B Revenue). This role primarily focuses on automating repetitive forecasting tasks using data science x FP&A best practices like time series forecasting and human-in-the-loop workflows. The ideal candidate for this role can both ingest, document, and refine requirements from finance partners as well as program end to end forecasting solutions. We’re looking for somebody who can partner effectively, code efficiently, and present methodologies and results to anybody from analysts up through SVPs. You will work with people and teams both local and remote as well as engage in processes with worldwide teams in a matrixed organization. At Adobe, we’re changing the world. How? We give people the tools to bring their ideas to life and build content that makes life more fun and work more significant. We give businesses and organizations the power to truly engage their customers. We're the ones behind the elegantly designed content that streams across your laptop, TV, phone, and tablet every day—and we’re the ones who harness the extensive power of big data to help companies move from data to insight and insight to action by delivering content that people have an appetite for most. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the significant benefits we offer. When you join Adobe, you can look forward to collaborating with the most genuine people in the industry, working on projects with real purpose, and having immense pride in the products we create and the customers we support. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. Come create experiences that matter at a company that is recognized around the world and hear what our employees are saying about their career experiences on the Adobe Life blog.

Requirements

Deep experience in time series modelling – particularly in building, deploying, and explaining forecasting models
Excellent problem-solving skills. Candidate can cut to the heart of and articulate issues, scope and select recommended solutions, and implement them with minimal guidance
Strong communication skills. Candidate can clearly, succinctly, and constructively communicate with partners to achieve our organization’s many goals.
Exceptional presentation skills – can explain complex modelling methodologies and processes to non-technical audiences
Evangelist: Excited to apply data science techniques to traditional FP&A problems and grow their responsibilities over time
Familiar with common financial concepts like ARR and ARPU
Intermediate/Advance Python programming skills
Familiarity with data pipelining, within Databricks preferred
Deep prior experience doing fully automated time series forecasting using Python

Responsibilities

Build, improve and maintain sophisticated ARR time series based forecasting models to boost accuracy and provide time savings for finance partners
Work with finance partners to comprehensively understand the problems that need to be solved and design and implement forecasting solutions
Present proposed methodologies and results to finance partners at various levels – analyst through SVP
Figuring out how best to incorporate human-in-the-loop approaches to automated forecasts to improve accuracy and explainability
Serve as finance data science evangelist, seeking out additional high impact opportunities for data science within FP&A and designing and implementing solutions there
Collaborate on dashboard creation to increase visibility of

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