Senior Data Scientist at Adobe Systems
San Jose, CA 95101
About the Job
Our CompanyChanging 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 OpportunityThe Adobe Digital Media Go to Market Data Science team is focused on using the power of data to understand customers, inform strategy, measure progress toward goals and uncover new opportunities
We are looking for a Data Scientist who is passionate about using big data to deliver key insights to drive critical business decisions
The ideal candidate will have hands-on experience with analytics and data science applied to subscription business, outstanding quantitative analysis and technical skills, superb communication, and experience working within a highly cross-functional ecosystem
You will focus on driving data science and analysis across a wide variety of strategic projects to improve customer acquisition and revenue growth
Put simply, this role is responsible for answering: What is going on? What should we do? This role will be focused on identifying drivers of customer acquisition and engagement, specifically around B2C or individual customers. What you’ll do:Apply expertise in quantitative analysis, data modeling, and other data science approaches to gain deep insights into customers’ behavior and journey across surfaces impacting customer acquisitionUse insights and data to inform strategies that increase business valueMonitor weekly performance, understand the root causes of changes in metrics, and provide guidance on forecastsPartner with Finance, Product & Marketing team to build quarterly and annual plans using data science modelingDefine and prioritize which opportunities we should pursue to increase customer acquisition and engagementPartner with various cross-functional teams (Data Engineering, Finance, Product, Campaign, and Marketing) to drive business growthCapture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohortsWhat you’ll need to succeed:6+ years of hands-on experience doing quantitative analysis preferably in the field of e-commerce, strategy, or management consulting
MS in Analytics or similar degree preferredExperience in defining a business problem, collecting required data, analyzing the results, and synthesizing a compelling argumentStrong analytical skills to articulate key business and financial implications/business impactStrong proficiency in querying and manipulating large data sets using SQL like languages (Hive/Hadoop preferred), Python, R, etc.Statistical Modeling in Microsoft Excel or Power PivotExperience with data visualization tools such as Tableau/Power BIUnderstanding of statistical modeling, machine learning, or data mining concepts, and a record of solving problems with these methodsComfortable presenting insights and findings to a broad range of stakeholders, team members, and regional partners
Ability to tell data driven stories in a clear and concise narrativeA solid sense of self and a great sense of humor.Willingness and desire to lead and build new thingsOur 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 $127,300 -- $229,300 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.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com 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
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 OpportunityThe Adobe Digital Media Go to Market Data Science team is focused on using the power of data to understand customers, inform strategy, measure progress toward goals and uncover new opportunities
We are looking for a Data Scientist who is passionate about using big data to deliver key insights to drive critical business decisions
The ideal candidate will have hands-on experience with analytics and data science applied to subscription business, outstanding quantitative analysis and technical skills, superb communication, and experience working within a highly cross-functional ecosystem
You will focus on driving data science and analysis across a wide variety of strategic projects to improve customer acquisition and revenue growth
Put simply, this role is responsible for answering: What is going on? What should we do? This role will be focused on identifying drivers of customer acquisition and engagement, specifically around B2C or individual customers. What you’ll do:Apply expertise in quantitative analysis, data modeling, and other data science approaches to gain deep insights into customers’ behavior and journey across surfaces impacting customer acquisitionUse insights and data to inform strategies that increase business valueMonitor weekly performance, understand the root causes of changes in metrics, and provide guidance on forecastsPartner with Finance, Product & Marketing team to build quarterly and annual plans using data science modelingDefine and prioritize which opportunities we should pursue to increase customer acquisition and engagementPartner with various cross-functional teams (Data Engineering, Finance, Product, Campaign, and Marketing) to drive business growthCapture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohortsWhat you’ll need to succeed:6+ years of hands-on experience doing quantitative analysis preferably in the field of e-commerce, strategy, or management consulting
MS in Analytics or similar degree preferredExperience in defining a business problem, collecting required data, analyzing the results, and synthesizing a compelling argumentStrong analytical skills to articulate key business and financial implications/business impactStrong proficiency in querying and manipulating large data sets using SQL like languages (Hive/Hadoop preferred), Python, R, etc.Statistical Modeling in Microsoft Excel or Power PivotExperience with data visualization tools such as Tableau/Power BIUnderstanding of statistical modeling, machine learning, or data mining concepts, and a record of solving problems with these methodsComfortable presenting insights and findings to a broad range of stakeholders, team members, and regional partners
Ability to tell data driven stories in a clear and concise narrativeA solid sense of self and a great sense of humor.Willingness and desire to lead and build new thingsOur 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 $127,300 -- $229,300 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.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com 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 (408) 536-3015
.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.SummaryLocation: San JoseType: Full time