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
As a data scientist within the Growth Org and Engagement organization, you will be a core part of the data science and analytics team, driving analytics-based insights that enable engaging experiences for our B2B users.

• We're looking for a candidate who is passionate about deriving impactful customer insights from large datasets, through descriptive, diagnostic, predictive and prescriptive analytics techniques.
• The ideal candidate will have a combination of strong analytical and technical skills, along with the ability to work with multi-functional teams, and the curiosity and ability to influence data-driven decision making by key partners.

• Drive analytics for user revenue growth programs and A/b tests through analyzing results and communicating insights.
• Partner with product managers to understand product/customer behavior and features, and use insights generated to make recommendations to improve customer experience and engagement.
• Be a specialist of stitching and calibrating sparse and noisy data across various data sources.
• Support regular ad-hoc data and analysis needs to better understand customer behavior.
• Build reporting frameworks / resources that enable partners to self-serve information.
• Partner with teams including product analytics, Go-To-Market and Campaign.

• Bachelor's/Master's / PhD degree in Computer Science, Analytics/Data Science, Statistics, or related quantitative field, or a Bachelor's degree in a similar field with relevant practical experience
• Strong skills in a data science/analytics role with a proven track record of success
• Experience in hypothesis testing and A/b test analytics.
• Expertise in working with large data sets using SQL/Spark SQL
• Hands-on experience working with Cloud Platform e.g. Databricks. Ability to create DAG's and run data pipelines in Cloud.
• Expertise in developing sophisticated reports/dashboards using Tableau & Power BI .Adobe Analytics experience is plus.
• Good attention to detail and ability to stitch and QA multiple data sources.
• Strong analytical and quantitative problem-solving ability
• Excellent oral and written communication skills
• Ability to synthesize large scale data sets to generate a clear story and impactful insights
• A curious mind, passion, and motivation to learn new skills, tools, and analytics techniques critical to tackle business challenges.
• Open to work across US timezones (primarily PST).
• Ability to communicate business insights effectively to stakeholders.
• Ability to work across North American time zones, most importantly Pacific Time (PST/PDT).