Adobe
Data Scientist - Mobile Analytics and Insights
Adobe, San Jose, California, United States, 95199
Data Scientist - Mobile Analytics and Insights
Join to apply for the Data Scientist - Mobile Analytics and Insights role at Adobe Our Company 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! The Opportunity
Digital Media Mobile Go-to-Market Applied Data Science and Analytics team is looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapidly growing mobile business. This is a hybrid role of data science and strategy. In this role, you will leverage your data science skills and machine learning techniques to generate actionable data-driven recommendations to empower the mobile business across the full funnel of the customer journey (acquisition, monetization, engagement and retention). The ideal candidate will be a self-starter with outstanding quantitative analytical skills, superb business intuition, excellent communication skills, and the ability to use analytics to drive and influence business decision making.
What You Will Do
Apply expertise in quantitative analysis and data modeling to gain deep insights into customer behaviors/journeys across surfaces, short and long-term trends, and present impactful recommendations to grow the business
Act as a thought partner to GTM business leads, Sales, PM, PMM, and other partners; influence decisions through storytelling of data-driven recommendations, analysis, and experiment results
Identify business opportunities, build use cases, and recommend data science initiatives to unlock business and inform the data science plan and data-driven product roadmap
Use data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks
Recommend testing ideas based on the analysis
What Is Needed To Succeed
Bachelor’s degree in quantitative fields (e.g., Computer Science, Math/Statistics, Economics, Physics) or equivalent practical experience; MBA or a master’s degree is preferred
2-3 years hands-on experience doing quantitative analysis in tech or management consulting
Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems
Ability to tell stories with data and communicate to partners at all levels to influence critical decision making
Strong proficiency in querying and manipulating large data sets using SQL-like languages
Deep understanding of mobile analytics, mobile user journey and funnel analysis (strongly preferred)
Statistical modeling in Microsoft Excel or Power Pivot
Experience building and training statistical/data science models
Experience in data visualization tools, preferably Tableau and Power BI
Strong initiative, self-motivation, and a collaborative mindset
Fast learner with desire to learn new things
Our 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 $109,000 -- $192,400 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.
State-Specific Notices California: Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: If this role is open to hiring in Colorado, 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: 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.
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 applicable characteristics protected by law. We aim to make Adobe.com accessible to 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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Advertising Services
IT Services and IT Consulting
Software Development
Referrals increase your chances of interviewing at Adobe. Get notified about new Data Scientist jobs in San Jose, CA.
#J-18808-Ljbffr
Join to apply for the Data Scientist - Mobile Analytics and Insights role at Adobe Our Company 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! The Opportunity
Digital Media Mobile Go-to-Market Applied Data Science and Analytics team is looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapidly growing mobile business. This is a hybrid role of data science and strategy. In this role, you will leverage your data science skills and machine learning techniques to generate actionable data-driven recommendations to empower the mobile business across the full funnel of the customer journey (acquisition, monetization, engagement and retention). The ideal candidate will be a self-starter with outstanding quantitative analytical skills, superb business intuition, excellent communication skills, and the ability to use analytics to drive and influence business decision making.
What You Will Do
Apply expertise in quantitative analysis and data modeling to gain deep insights into customer behaviors/journeys across surfaces, short and long-term trends, and present impactful recommendations to grow the business
Act as a thought partner to GTM business leads, Sales, PM, PMM, and other partners; influence decisions through storytelling of data-driven recommendations, analysis, and experiment results
Identify business opportunities, build use cases, and recommend data science initiatives to unlock business and inform the data science plan and data-driven product roadmap
Use data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks
Recommend testing ideas based on the analysis
What Is Needed To Succeed
Bachelor’s degree in quantitative fields (e.g., Computer Science, Math/Statistics, Economics, Physics) or equivalent practical experience; MBA or a master’s degree is preferred
2-3 years hands-on experience doing quantitative analysis in tech or management consulting
Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems
Ability to tell stories with data and communicate to partners at all levels to influence critical decision making
Strong proficiency in querying and manipulating large data sets using SQL-like languages
Deep understanding of mobile analytics, mobile user journey and funnel analysis (strongly preferred)
Statistical modeling in Microsoft Excel or Power Pivot
Experience building and training statistical/data science models
Experience in data visualization tools, preferably Tableau and Power BI
Strong initiative, self-motivation, and a collaborative mindset
Fast learner with desire to learn new things
Our 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 $109,000 -- $192,400 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.
State-Specific Notices California: Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: If this role is open to hiring in Colorado, 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: 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.
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 applicable characteristics protected by law. We aim to make Adobe.com accessible to 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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Advertising Services
IT Services and IT Consulting
Software Development
Referrals increase your chances of interviewing at Adobe. Get notified about new Data Scientist jobs in San Jose, CA.
#J-18808-Ljbffr