Data Scientist - Mobile Analytics and Insights

San Jose

Adobe

Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.

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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 hiring! We are looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapid growing mobile business.

This is a hybrid role of data science and strategy. In this role, you will use your data science skill and machine learning techniques to generate actionable data-driven recommendations to empower mobile business across full funnel of customer journey (acquisition, monetization, engagement and retention)

The ideal candidate will be a ‘self-starter’ with outstanding quantitative analytical skill, superb business intuition, fantastic communication skill, and most importantly, the ability to use analytics to drive/influence business decision making.

What You Will Do

  • Apply expertise in quantitative analysis and data modeling to gain deep insights into customers behaviors/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business
  • Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results
  • Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap
  • Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks
  • Recommend testing ideas based on the analysis

What You Need To Succeed

  • Bachelor’s degree or equivalent experience in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master’s degree or equivalent experience 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
  • Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making
  • Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages
  • Statistical Modeling in Microsoft Excel or Power Pivot
  • Experience building and training statistical/data science models
  • Experience with statistics in SaaS or Subscription Business model environment, mobile analytics related experience preferred.
  • Experience in Data Visualization tools, preferably, Tableau and Power BI

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 $107,900 -- $192,300 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.

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Tags: Computer Science Consulting Data visualization Economics Excel Machine Learning Mathematics Physics Power BI SQL Statistical modeling Statistics Tableau Testing

Perks/benefits: Equity / stock options

Region: North America
Country: United States

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