Data Science Engineer

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!

 

The Opportunity

Are you a Data Scientist with outstanding analytical problem-solving skills with a passion to take on real life business problems along with a growth mindset? If Yes, Adobe is looking for Data Scientists like you to join their Digital Media B2B Data Science and Analytics team! With a focus on understanding DMe B2B customers, analyzing trends in product engagement, digital customer journeys and retention to better engage our customers with our products thereby increasing Customer LTV, you would be closely partnering with our Digital and Product Strategy, GTM and Sales teams. You will play a significant role in driving the growth of Adobe DMe B2B segment by analyzing and reporting on insights that drive critical business decisions. Ideal candidates are passionate about Adobe Products, are leaders with vision and growth mindset along with great teammates with good sense of humor!

What you'll do

• Perform large scale data analysis and develop effective Machine learning models for segmentation, classification, regression, time series, etc.
• Enhance/Improve the existing M/L models to ensure continuous alignment with business objectives
• Design and implement reporting dashboards and track Key Performance Indicators and provide useful insights
• Suggest recommendations based on practical insights
• Unlock new opportunities for growth by discovering insights, automate processes and predictive modeling
• Work closely with product and strategy teams to proactively define Call to Action programs for B2B Customers
• Build and Analyze Digital Customers Journeys starting from different surfaces for B2B customers with an intent to suggest improvements in the journey stages and insights into optimization opportunities
• Develop propensity models to prioritize actions/leads
• Suggest improvements in technologies to help scale the team

What you need to succeed

A successful Data Scientist strives for long term success, along with:

• A self learner and quick starter
• Expertise in performing data extraction, manipulation and visualization
• Experience with distributed computing tools (Hadoop, Hive/Spark)
• Expert in SQL and proficient in Data Visualization tools like Power BI/Tableau
• Experience applying statistical and machine learning techniques like hypothesis testing, classification, regression, time series forecasting and clustering to real-world data sets
• Hands-On coding experience with at least one programming language (Python/R)
• Experience in solving analytical problems using quantitative and qualitative approaches
• Experience in presenting qualitative and quantitative analysis/insights
• Expertise in story telling with Data
• Experience working in a dynamic and agile environment, management of multiple projects with excellent Verbal and written communication skills
• Master’s in Data Science/Analytics/Statistics or related field
• 5+ years’ experience in Data Science/Product Analytics (Team lead experience preferred, however, not required)

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 $128,600 -- $234,200 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.

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.

 

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