Data Science Engineer

Adobe•San Jose, CA

22h•$133,100 - $236,400

About The Position

In 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.

Requirements

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

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 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