Adobe

Data Scientist

Adobe · San Jose, CA

  • On site
  • Full-time
  • $138,600 / year
  • San Jose, CA

Job highlights

  • Drive Document Cloud business with data science.
  • Analyze customer behavior and trends.
  • Influence decisions with data storytelling.
  • Develop data science models for business solutions.
  • Recommend and implement testing ideas.

About the role

Data Scientist - Document Cloud

Join our dedicated team at Adobe as a Data Scientist in San Jose to drive the critical Document Cloud business. This outstanding opportunity blends data science with strategic insight, allowing you to bring to bear advanced analytical and machine learning techniques to deliver actionable, data-driven recommendations.

You will work closely with senior Go To Market leaders, showcasing your superb business intuition, quantitative analytical prowess, and fantastic communication skills. Your insights will empower the business across the full customer journey, from acquisition to retention. Be part of our world-class team and help us build the future!

What You Will Do

  • Apply your expertise in quantitative analysis and data modeling to uncover deep insights into customer behavior and trends.
  • Act as a thought partner to business leads and influence decisions through compelling data-driven storytelling.
  • Identify business opportunities, build use cases, and recommend data science initiatives to inform our product roadmap.
  • Tackle critical business challenges with data science models to drive scalable and programmatic business solutions.
  • Recommend and implement testing ideas based on detailed analysis.

What You Need 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 ideally 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.
  • Experience in Data Visualization tools, preferably, Tableau and Power BI.
  • A solid sense of self with an innate sense of curiosity.
  • A fast learner with a 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 accommodations@adobe.com or call +1 408-536-3015.

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.

Key skills/competency

  • Data Scientist
  • Quantitative Analysis
  • Machine Learning
  • Data Modeling
  • Business Intuition
  • Data-Driven Storytelling
  • SQL
  • Tableau
  • Power BI
  • SaaS

Skills & topics

  • Data Scientist
  • Quantitative Analysis
  • Machine Learning
  • Data Modeling
  • Business Intelligence
  • Data Visualization
  • SQL
  • Tableau
  • Power BI
  • SaaS

How to get hired

  • Tailor your resume: Highlight your quantitative analysis, machine learning, and data storytelling skills. Emphasize experience with SQL, Tableau, and Power BI.
  • Showcase business acumen: Demonstrate your ability to translate data insights into actionable business recommendations, especially within SaaS or subscription models.
  • Prepare for data storytelling: Practice explaining complex data findings clearly and concisely to various stakeholders, from technical teams to business leaders.
  • Highlight relevant experience: Emphasize your 2-3 years of quantitative analysis in tech or consulting, and any experience with statistical modeling in Excel/Power Pivot.
  • Demonstrate curiosity: Express your eagerness to learn and adapt to new technologies and business challenges during the interview process.

Technical preparation

Practice SQL for large dataset manipulation.,Build and present statistical models.,Develop data visualizations in Tableau/Power BI.,Apply statistical modeling in Excel/Power Pivot.

Behavioral questions

How do you tell stories with data?,Describe a complex business problem solved.,How do you influence decision-making with data?,How do you approach learning new skills?

Frequently asked questions

What are the key technical skills required for the Data Scientist role at Adobe?
The Data Scientist role at Adobe requires strong proficiency in quantitative analysis, data modeling, and machine learning techniques. You'll need solid SQL skills for data manipulation, experience building statistical/data science models, and familiarity with SaaS/Subscription business models. Experience with data visualization tools like Tableau and Power BI is also essential. Proficiency in statistical modeling within Microsoft Excel or Power Pivot is a plus.
What is the educational background expected for an Adobe Data Scientist?
Adobe prefers a Bachelor's degree in quantitative fields such as Computer Science, Math/Statistics, Economics, or Physics, or equivalent practical experience. An MBA or a Master's degree is considered a strong advantage for this Data Scientist position.
How important is communication and business intuition for this Data Scientist role at Adobe?
Communication and business intuition are crucial for this Data Scientist role. You will be expected to act as a thought partner to senior Go To Market leaders, influence decisions through compelling data-driven storytelling, and translate complex data insights into actionable business recommendations for the Document Cloud business.
Can I use AI tools during the interview process for the Data Scientist position at Adobe?
Adobe permits AI use in certain aspects of the hiring process, but explicitly prohibits the use of AI or recording tools during live interviews unless pre-approved as an accommodation. Misrepresenting your work with AI tools can lead to disqualification. Candidates should be eager to innovate with AI but mindful of these guidelines.
What is the expected salary range for a Data Scientist at Adobe in San Jose?
The U.S. pay range for this Data Scientist position is $109,000 - $200,700 annually, with specific pay varying by location. For California, the range is $138,600 - $200,700 annually. The recruiter will provide more details on the exact salary for the job location during the hiring process.
What kind of experience is preferred for this Data Scientist role at Adobe?
Adobe prefers candidates with 2-3 years of hands-on quantitative analysis experience, ideally within the tech industry or management consulting. Demonstrable experience in using statistical modeling on large datasets to solve complex business problems is also highly valued for this Data Scientist position.
What is Adobe's stance on diversity and inclusion for the Data Scientist hiring?
Adobe is committed to being an Equal Employment Opportunity employer and does not discriminate based on various protected characteristics. They strive to create an inclusive culture where all employees are empowered to make an impact, and they aim to make their recruiting process accessible to all users.
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