Senior Data Scientist (San Francisco)

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!

Seeking a highly curious, customer-obsessed Senior Data Scientist to partner with the Creative Product Marketing team in uncovering how our customers engage with and gain value from our products.

What you'll Do

• Analyze product usage patterns and customer journeys to uncover behavioral insights related to acquisition and retention-translating findings into actionable marketing strategies

• Drive experimentation, including the design, execution, and evaluation of A/B and multivariate tests across marketing and product to optimize strategy

• Build predictive models and machine learning solutions to personalize content, segment users, and forecast behaviors such as churn, LTV, or feature adoption, and inform measurement strategies

• Proactively identify user trends and market signals, turning them into high-impact recommendations that craft decisions and planning

• Partner cross-functionally to craft compelling data stories and visualizations to present insights clearly to technical and non-technical audiences, including marketers, designers, product managers, and executives

• Understand and improve product instrumentation by collaborating with insights and data engineering teams to ensure data completeness, quality, and usefulness for analysis

• Guide automation and optimization of data pipelines using SQL and Python-based ETL frameworks; ensure scalable, reliable, and reproducible workflows for both exploratory and production use

• Collaborate with other data scientists and analytics leaders to promote proficiency with data, build scalable analytics products, and elevate the team's influence

What you need to succeed

• MS or PhD in Data Science, Statistics, Computer Science, Mathematics.

• 7+ years of data science experience, especially in marketing analytics, product analy t ics

• Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.) within a cloud data platform (Databricks or similar)

• Proficiency in Python for data analysis and modeling

• Experience translating business questions into data analytics approaches

• Proficiency with descriptive and inferential statistics (i.e., t-test, chi-square, ANOVA, correlation, regression, etc.) to understand customer engagement and generate hypotheses

• Handson with visualization tools like Tableau, Looker, Power BI, or equivalent libraries for dashboards and storytelling for 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

• Natural curiosity, creative thinking, strong business sense, and polished communication skills

• Strong teammate who thrives in a diverse, inclusive culture that values fresh ideas from everyone

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 positionis $145,600 -- $276,400 annually. Paywithin this range varies by work locationand 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 :

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.

Adobe is proud to be an 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 [email protected] or call (408) 536-3015.

#J-18808-Ljbffr