Data Science Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

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!

Position Summary :

This is a hands-on role, the primary responsibility includes insight generation, providing recommendations & decisions for product improvement, drive KPI measurement and executive reporting of KPIs across Document Cloud products. The person will partner closely with product and marketing teams to innovate and drive holistic DC business and product strategy .

Responsibilities :

• Develop customer insights and analysis by identifying and providing data insights
• Executive reporting and analysis historical data, ensure accuracy and distribution
• Drive exploratory data analysis that marry qualitative assessment/research with quantitative supporting findings to drive business and product decisions
• Partner with product management / engineering / marketing to set KPIs, build & support dashboards/reports that measure these KPIs to drive & support strategic decisions
• Communicate / present concise and actionable reports to all stakeholders of product management and partners
• Design and automate reporting that drives an improved understanding of product usage & User journey in Document Cloud
• Develop and run ad-hoc reports to answer business questions and support data driven decision making when needed
• Use multiple data sources to effectively answer business questions and give a view of customer journey across products
• Find innovative ways to search for meaningful patterns, trends and relationships amongst large data volumes that lead to business improvement

Skill Set:

• 5 to 8 years of demonstrated experience in product / marketing analytics and driving actionable insights
• Strong analytical and quantitative orientation with advanced query writing SQL on large data sets
• Expert with Hadoop/ Big data environments to synthesize and analyze data
• Expert in PowerBI, Tableau, Excel Pivots / Adobe Analytics
• Working knowledge of data warehousing infra like Hive / Presto
• Basic understanding of scripting languages (R, Python, etc.)
• Strong presentation and communication skills
• Can clearly, concisely, effectively across multiple levels within the organization, ability to transform data into clear presentations for senior leaders
• Good understanding of A/B testing