Partner closely with the other data scientists and data engineers to help inform, build and test hypotheses to deliver impactful insights to fuel our products leveraging your skills in experimentation & statistical modeling.
Define the metrics we use to measure the health of initiatives and track them through dashboards.
Work closely with cross-functional teams of user researchers, data scientists, product managers, designers, marketers and engineers who are passionate about Spotify’s success.
Gain a deep understanding of how products and platforms influence both end user and internal user behavior, and represent the voice of our users in the product development process.
Drive an insights agenda, executing research diligently and inventively. You will identify impactful opportunities for product development based on user needs.
Be a strategic partner to product development teams by delivering insights that inform the problems we choose to seek and craft the future of our roadmaps.
Be an advocate for data-informed decision-making, enabling our product teams to focus on fulfilling the right needs of our internal customer teams, creators & their teams.
Who You Are:
3+ years of experience applying experimentation methods & advanced statistical modeling to drive product development.
Experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
You are capable of tackling loosely defined problems, breaking them down into relevant and concrete research work streams and translating findings into practical application for diverse audiences.
You have strong communication skills and value establishing relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
You’re a compelling storyteller who can communicate in succinct and inspiring ways to a broad variety of stakeholders to influence real world product or feature decisions.
Proficiency in Python and SQL. Ideally, you are also skilled at performing analysis on large datasets.
Experience crafting and executing impactful projects end-to-end through collaboration and with a high degree of autonomy.
Knowledge of the music industry and its players is a plus.
Having experience working on platform products and a genuine interest in building internal products and solving problems for internal users is a plus.
Where You’ll Be:
We are a distributed workforce enabling our band members to find a work mode best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Eastern Standard time zone for collaboration