Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for our fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.
We are currently recruiting for a Data Scientist within the multidisciplinary Advertising Product Insights team. This role is focused on supporting the scaling of the future of Spotify Advertising, our self-service advertising platform, Spotify Ads Manager. Our work sits at the intersection of R&D and the Ads business, and we are responsible for bringing the right data and insights to our breadth of stakeholders to understand Spotify Ads Manager performance, and the advertiser experience with Spotify.
Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use a range of data science tools and capabilities to work closely with product, design, engineering, user research, product marketing, and our business stakeholders on one or more of the following areas:
Customer facing product development for advertisers
Data requirements and management for our ever expanding platform
Spotify Advertiser and Spotify Ads Manager growth initiatives
Experimentation, causal inference and Insights for Spotify Ads Manager optimization
Defining new metrics, forecasts, and benchmarks for product evolution
Evolving Ads Manager self-service performance and UX reporting
Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions throughout all stages of the product development lifecycle
Define data requirements and support the implementation of data specs for product launches
Support the management and maintenance of the Spotify Ads Manager’s data and reporting (including dashboards) ecosystem
Build lasting solutions to surface critical data and performance metrics
Design and conduct experiments to drive iterative improvement to both user and advertiser metrics through efficient experimentation
Communicate data-driven insights and recommendations to key partners
Develop individually to continue to grow your impact, and help mentor peers and early career colleagues
You have 3+ years experience in a similar data science role
You are interested in supporting the growth of a maturing platform, building the foundation for the future of Spotify Advertising
Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, product teams, sales teams or marketing teams
You have the technical competence to perform more advanced analytics: Coding skills for analytics and data extraction (SQL, Python - packages such as pandas and numpy) and Data visualization (Tableau, Looker, matplotlib)
You have experience performing analysis with large datasets
You have a strong understanding of statistics and machine learning
You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis
You are capable of solving very loosely defined problems
You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms
You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team
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 anywhere in theNorth Americaregion 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 optionshere.
Working hours? We operate within the Eastern time zone for collaboration.
The United States base range for this position is $107,766 - $153,951, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
