Senior Data Scientist

The Opportunity
At Adobe Express, we’re on a mission to democratize content creation. Our vision is to provide a platform where anyone, regardless of their background or experience, can effortlessly craft exceptional content that resonates.
We’re not just creating an app; we’re fostering a movement. Adobe Express embodies our unwavering commitment to facilitating content creation that’s easy, instinctive, and rapid. Dive into a world where crafting captivating social media posts, engaging stories, striking ads, dynamic banners, professional logos, and eye-catching flyers takes mere minutes. The best part? It’s all within your reach in a single, all-in-one #contentcreation app.
Join us at Adobe Express and be part of a pioneering endeavor that’s reshaping the way people express themselves. Your skills and creativity will play a pivotal role in shaping this exciting new chapter in content creation.
Are you ready to elevate your data science career? We’re seeking a dynamic and motivated hands-on data scientist to join our team. In this strategic role, you’ll collaborate with product managers, growth marketers, and the leadership team to drive key decisions that shape the future of our products. If you’re passionate about understanding users and optimizing all parts of their journey, this opportunity is tailor-made for you!

Responsibilities

• Prioritize and Lead Analytics Initiatives: Dive deep into Adobe Express data to uncover new product and business opportunities. Develop and execute a machine learning strategy and roadmap.
• Strategic Partnership: Collaborate with product development teams and leadership to shape business strategy and product roadmaps informed by analytical insights.
• Experimentation and Analysis: Design, implement, and analyze A/B experiments. Deliver comprehensive reports and actionable insights that drive product enhancements.
• Foster Data Culture: Motivate data science and product teams by championing experimentation and sharing product insights that lead to innovation.
• Cross Collaboration & Communication: Work closely with development teams on product instrumentation, user flow analysis, and data capture to ensure robust data foundations.

What we’re looking for

• Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering. Advanced degrees are preferred.
• 2+ years of hands-on technical experience in a data science role
• Proven ability to explore large datasets, extract meaningful insights, and translate these into real-world results.
• Experience in ML modeling and data inference is highly desirable.
• Strong skills in understanding data, coupled with creative thinking and problem-solving abilities.
• Demonstrated history of deriving insights from data analyses and effectively communicating these to product and business leaders.
• Someone who is a self-starter, takes ownership, and drives solutions to completion, solving problems thoroughly and proactively.