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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!
The People Data Scientist will join our People Analytics team within Employee Experience, and report to the Director of People Data Science. This role will work with a team of analysts, data scientists, and data engineers to derive insights and recommendations that inform strategic people-related decisions.
Responsibilities:
Conduct ad-hoc analytical deep dives on complex data, and articulate the takeaways to (non-analytical) stakeholders in a way that drives impact and decision making
Explore, prototype and iterate on insights from internal data and research, and determine what and how to scale
Develop predictive models to forecast outcomes and inform people decisions.
Develop algorithms to auto-extract insights from various data sources
Automate compelling, frequent analyses (e.g., via R or Python scripts)
Demonstrate deep care for the ethical implications of working with employee data and ensure team compliance with privacy and legal regulations.
Define critical data elements, logic and implementation of key people metrics, and our approach to incorporating new data signals
Contribute to ensuring we have a solid foundation for managing, processing, and analyzing data efficiently and securely (in collaboration with other technical teams across Adobe).
Skills/Qualifications:
7+ years of experience applying statistical and machine learning techniques to people data (e.g., survey data, HRIS data, human behavior or product interaction data) in an applied setting
Expert knowledge of advanced statistical methods (e.g., regression, cluster analysis, HLM, social network analysis, text analysis, forecasting/predictive models, ML, etc.)
Advanced in data querying, hypothesis testing and analysis using tools such as SQL, Python, and R
Strong understanding of data infrastructure needs for People Analytics, and ability to collaborate across functions to solidify data foundations
Excellent verbal and written communication skills, with the ability to convey complex data insights to non-technical stakeholders.
Demonstrated ability to work collaboratively across functions and levels within an organization.
Proven ability to mentor junior data scientists and teach others how to use data science tools and best practices.
Strong analytical and problem-solving skills.
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 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 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.
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