Jobs Companies Adobe Data Scientist - Mobile

Über diese Data Scientist - Mobile Stelle bei Adobe

Adobe · Hybrid · San Jose

The Opportunity

Digital Media Data Science and Analytics team is looking for a seasoned Data Scientist to drive the rapid growing mobile business.

This is a hybrid role of data science and strategy. In this role, you will demonstrate 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. MBA or a master’s degree or equivalent experience is preferred
  • 3-5 years hands-on experience doing quantitative analysis in tech or management consulting
  • Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages
  • 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
  • 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 using AI tool is highly preferred
  • Experience in Data Visualization tools, preferably, Tableau and Power BI
  • A fast learner with desire to learn new things


About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.


Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 


Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.


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 protected characteristic. Learn more.


Adobe aims to make our Careers website and recruiting process 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 [email protected].


AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.


At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

 

Expected Pay Range:

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 -- $200,700 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.

 

In California, the pay range for this position is $138,600 - $200,700

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:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), 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:

Massachusetts Legal Notice

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.

Bereit, sich bei Adobe zu bewerben?
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Wie sich dieses Gehalt für Data Scientist vergleicht

Diese Stelle zahlt $169,650/yrunter der üblichen Spanne für Data Scientist Stellen.

$164,385 dem Median $234,775 $324,980

Übliche Spanne $189,500–$264,850/yr, aus 35 vergleichbaren Data Scientist Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Scientist ansehen →

Über Adobe

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world . 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 meaningful benefits we offer. There's more than meets the eye when it comes to Adobe. Take the quiz and see how well you know us! Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or n

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