Director, Analytics & Data Science

Adobe

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profile Job Location:

San Francisco, CA - USA

profile Yearly Salary: $ 171900 - 339850
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were 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

We are seeking an experienced Data Scientist to join thePro Designteam!

You will partner closely with Marketing Product and Engineering teams to develop data scienceinsights and solutions that informour overall product/business strategyacquisitionstrategiesoptimizeretention and forecast demand. Your work will directly influencethe Pro Designroadmap by uncovering growth levers and patterns in user behavior acquisition channels and user churn dynamics.

WhatyoullDo

  • Define and drive a culture ofanalyticalrigor including implementing scalable tools and processes that drive visibility accountability and action.

  • Develop and refine customer segmentation models using unsupervised learning techniques toidentifybehavioral clusters and inform targeting strategies.

  • Build andmaintainforecasting models (e.g. ARIMA Prophet) to predict demand and user engagement trends.

  • Define and exemplify the value of customers over and develop strategies to improve it in acquisition and retention processes.

  • Lead churn modeling initiatives to proactivelyidentifyat-risk users and recommend mitigation strategies.

  • Create reusable machine learning pipelines and data artifacts that scale across the organization.

  • Collaborate with cross-functional teams to design experiments and interpret results including A/B testing and cohort analyses.

  • Share complex modeling outcomes and insights with both technical and non-technical collaborators.

Whatyou need to succeed

  • 10 years of experience in data science or advanced analytics.

  • Proventrack recordin building high performing data science/analytics teams that are diverse highly collaborative and work across functions and geographies.

  • Strong communicationskills anda track recordof influencing stakeholders peers and leaders.

  • Strongproficiencyin Python and SQL for data manipulation modeling and analysis.

  • Experience with Databricks or similar cloud-based data platforms.

  • Deep understanding of time series forecasting including ARIMA Prophet and other statistical models.

  • Proven ability to build and deploy unsupervised learning models for customer segmentation.

  • Expertisein data visualization tools like Tableau or equivalent.

  • Strong foundationin statistical modeling experimentation and lifecycle analytics.

  • Ability to work independently and lead complex projects from ideation to delivery.

  • BS degree in computer science or a related degree isor equivalent practical experience

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 $$339850 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand 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 $234700 - $339850

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 anEqual Employment Opportunityemployer. 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 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 emailor call .


Required Experience:

Director

Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics