Adobe | 2023 University Graduate – Data Scientist | San Jose, CA | United States | BigDataKB.com | 26 Oct 2022

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Job Location: San Jose, CA

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!

As a Data Scientist, you will be responsible for helping different businesses and teams achieve operational and execution efficiencies using data. Your leadership and interpersonal skills will allow you to engage with product management, customer success, marketing, and sales teams to identify problems which can be addressed with data science. You will partner with data engineers to help our team build data pipelines from a variety of sources and use your understanding of statistics to mine data for impactful insights for the various teams. Your success is predicated on providing insights that enable our enterprise business to lower customer churn, find opportunities for product improvement, and facilitate growth opportunities.

What You’ll Do

Own the data collection, analysis, and delivery of critical metrics for an enterprise SaaS product team.

Analyze customer usage data and derive insights for product, customer success, and marketing teams.

Standardize insight generation and help build automated self-service tools for the same.

Own and lead relationships with partners across digital marketing businesses.

What You Need to Succeed

MS or PhD degree or equivalent experience required

Solid understanding of SQL and R/Python

Ability to apply statistical/machine learning techniques such as hypothesis testing, time series forecasting, linear and logistic regression, random forests, etc.

Ability and preference to work in a constantly evolving and less defined business environment.

Ability to work with disparate teams, often in different geos, prioritize tasks and follow up on them is crucial for success in this role.




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