Senior Data Scientist - Global Strategy Operations - People

Spotify’s Global Strategy Ops Team is looking for a Senior Data Scientist who wants to use their experience and skills in data science and machine learning to apply it to operational data. The purpose of your work will be to provide data driven insights to better understand how Spotify gets things done. Ultimately, we want everyone to stay informed about the different dimensions of productivity in meaningful ways.
Spotify has an ambitious mission and as we grow, we need scalable approaches to track and understand where we can improve. We seek a creative thinker who has a desire to implement and deliver on big ideas.
You’ll join Spotify’s Global Strategy Operations team that supports Spotify’s executive leadership team and the 9000+ Spotifiers. Our mission is to make Spotify world-class at strategy execution.
As a Data Scientist in the team you will partner closely with Platform Insights, Productivity Engineering and People Analytics with a focus on the following areas:
Building data models, metrics, dashboards, and research that identify and track how agile, productive and effective the company is.
- Harnessing operational data to insights that identify the next areas of productivity improvement.- Working closely with quantitative data from internal development and collaboration tools used by teams, and - qualitative data from function/company wide surveys. - Evolve how Spotify works with quantitative data from internal development and collaboration tools used by teams (e.g. Jira, Google Suite, Backstage, Coda, Workday) in terms of how the tools are used (statistics and NLP) - Leading the way to engaging and powerful productivity metrics.

WHAT YOU'LL DO:

• Collaborate with Analysts, Data Scientists and Data Engineers across teams to understand the work management ecosystem, identify corresponding data needs, come up with technical proposals, and influence these partners on opportunities for improvement
• Build deep operational data expertise and own data quality for allocated areas of ownership
• Develop, launch and maintain data pipelines for new operational data and metrics
• Explore, understand and organize existing operational data and metrics
• Build and maintain user-oriented dashboards and significant, actionable data visualizations (e.g. Tableau, R-Shiny).
• Formulate and validate hypotheses related to the effectiveness of our engineering organization
• Perform analysis on the data to extract impactful insights that will help drive product and engineering decisions and business performance
• Be a key partner in building out a data informed approach to strategy execution

WHO YOU ARE:

• You have 5+ years relevant experience and a degree in computer science, engineering, statistics, mathematics, economics or another quantitative subject area
• You have strong interpersonal skills and are comfortable working with multiple senior stakeholders
• Start-up mindset. You are prepared to collaborate and tackle problems outside of your comfort zone
• You know how to tackle loosely defined problems and come up with relevant answers and impactful insights
• You are comfortable analyzing large datasets with statistical rigor (such as regression modeling, a/b testing and significance testing)
• You have experience performing analysis with datasets in a cloud-based data processing environment, such as BigQuery or similar
• You have coding skills, ideally in languages such as Python
• You are pragmatic, yet curious and open-minded to exploring new ways of doing things

WHERE YOU WILL BE:

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the EMEA 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 Central European time zone for collaboration

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.