
Senior Data Scientist, Product Analytics
Adobe · San Jose, CA
- On site
- Full-time
- $133,100 / year
- San Jose, CA
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Subject: Interested in the Senior Data Scientist, Product Analytics role at Adobe
Hi Casey — I came across the Senior Data Scientist, Product Analytics opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Adobe stood out because…
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Job highlights
- Analyze product usage and customer behavior.
- Develop and maintain data architecture.
- Automate and optimize data pipelines.
- Design and implement predictive models.
- Drive A/B tests for product development.
About the role
Senior Data Scientist, Product Analytics at Adobe
The Adobe Digital Imaging Data Science Team is looking for a Senior Data Scientist passionate about data and delivering an outstanding product experience. We use extensive product usage data and work closely with product managers, marketing managers, and software engineers to derive insights and build a foundation for reliable data-driven decision-making. You will focus on initiatives like product analytics, dashboards, data engineering, GTM analytics, growth and more. Your main role is to develop and maintain a strong data architecture that enhances reporting, analytics, and experimentation. Over time, you will apply predictive modeling and machine learning to help the organization improve customer experiences. Join us and drive meaningful change in Adobe’s most exciting areas!
Responsibilities:
- Partner with product and engineering teams to understand existing product instrumentation and help bridge gaps in data streams to assist data science initiatives.
- Analyze product usage patterns to better understand customer behavior including acquisition, engagement, conversion, and retention.
- Proactively identify user trends and communicate relevant insights to assist product decision-making.
- Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks.
- Build and maintain various dashboards to inform the team about the state of the business, as well as to alert business partners when issues occur.
- Architect and implement models to recommend personalized in-app content.
- Drive A/B and multivariate tests and build feature-level experiments to validate hypotheses and influence product development decisions.
Requirements:
- MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics, or equivalent experience.
- 5 - 7+ years of relevant data science experience.
- Experience translating business questions into data analytics approaches.
- Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.).
- Experience developing and operationalizing consistent approaches to experimentation, using appropriate statistical techniques to reduce bias and interpret statistical significance.
- Proficiency with descriptive and inferential statistics (i.e., t-test, chi-square, ANOVA, correlation, regression, etc.) to understand customer engagement and generate hypotheses.
- Experience crafting data visualizations and storytelling to efficiently communicate analysis results to both technical and non-technical audiences.
- Knowledge of relevant tools in this field such as Hadoop, Hive, Splunk, Spark, Tableau, Excel (Charting and Pivot-Tables), and Power BI.
- Experience in product instrumentation is a plus.
- Possess natural curiosity and technical competence, being capable of asking critical questions and always ready to address any challenges.
- Experience addressing an executive level audience.
- Excellent communication, relationship skills, and a strong teammate.
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.
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 $133,100 -- $236,400 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.
In California, the pay range for this position is $163,200 - $236,400 In Washington, the pay range for this position is $157,900 - $228,575
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.
Key skills/competency:
- Data Science
- Product Analytics
- SQL
- Python
- ETL
- Machine Learning
- A/B Testing
- Data Visualization
- Statistical Analysis
- Big Data Technologies
Skills & topics
- Data Scientist
- Product Analytics
- Machine Learning
- SQL
- Python
- ETL
- A/B Testing
- Data Visualization
- Statistical Analysis
- Big Data
How to get hired
- Tailor your resume: Highlight your 5-7+ years of data science experience, focusing on product analytics, SQL, Python, and machine learning as mentioned in the Senior Data Scientist, Product Analytics role.
- Showcase relevant skills: Emphasize your experience with SQL-like languages (Hive, Spark), experimentation, statistical techniques, and data visualization tools like Tableau or Power BI.
- Quantify achievements: Use data and metrics to demonstrate your impact on product decisions and customer experience improvements in your applications.
- Prepare for technical interviews: Brush up on SQL, Python, statistical modeling, and be ready to discuss your experience with large datasets and A/B testing.
- Research Adobe's culture: Understand their mission of empowering creativity and how your data science skills can contribute to their innovative products.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the typical career path for a Senior Data Scientist at Adobe?
- At Adobe, a Senior Data Scientist, Product Analytics role often leads to opportunities in Lead Data Scientist positions or specialized areas like Machine Learning Engineering. Continued growth involves taking on more complex projects, mentoring junior scientists, and contributing to strategic data initiatives. Your career trajectory will be influenced by your performance, leadership potential, and the evolving needs of the Digital Imaging Data Science Team.
- What are the key technical skills required for this Senior Data Scientist role at Adobe?
- The Senior Data Scientist, Product Analytics role at Adobe requires strong proficiency in SQL-like languages (Hive, Spark), Python for ETL, and experience with experimentation and statistical analysis. Familiarity with big data technologies like Hadoop and visualization tools such as Tableau or Power BI is also crucial. Demonstrating your ability to translate business questions into data analytics approaches is key.
- How does Adobe use AI in its hiring process for data science roles?
- Adobe encourages innovation with AI and looks for candidates eager to do the same. While AI is encouraged in certain aspects of the hiring process, its use during live interviews is restricted unless explicitly permitted. Candidates should ensure their work presented in interviews accurately reflects their own skills and thinking.
- What is the expected salary range for a Senior Data Scientist at Adobe?
- The U.S. pay range for this Senior Data Scientist position at Adobe is $133,100 - $236,400 annually. Specific pay within this range depends on factors like work location (e.g., California: $163,200 - $236,400; Washington: $157,900 - $228,575), job-related knowledge, skills, and experience. Your recruiter will provide more details during the hiring process.
- Can I apply for this Senior Data Scientist, Product Analytics job if I have a conviction record?
- Yes, Adobe will consider qualified applicants with arrest or conviction records for employment in California in accordance with state and local laws and 'fair chance' ordinances. This consideration applies to other locations as well, following applicable regulations.
- What is the work arrangement for this Senior Data Scientist role at Adobe?
- While the job description doesn't explicitly state the work arrangement (on-site, hybrid, or remote), Adobe has a strong emphasis on culture and collaboration. Given the nature of data science and product analytics roles, it's likely to be either hybrid or on-site to facilitate close collaboration with product and engineering teams.
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