Data Scientist - Advertising

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, video, and display. 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 II within the multidisciplinary Advertising R&D Product Insights team. This role centers on enabling the scaling and advancement of Spotify Advertising by working with our self-service advertising platform, Spotify Ads Manager. Our team operates at the crossroads of R&D and the Ads business, providing key data and insights to a wide range of partners to help them understand the performance of Spotify Ads Manager and the advertiser experience with Spotify.
Our mission is to enable teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use the whole 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 advertisersData requirements and management for our ever expanding platformSpotify Advertiser and Spotify Ads Manager growth initiativesExperimentation, causal inference, and Insights for Spotify Ads Manager optimizationDefining new metrics, forecasts, and benchmarks for product evolutionEvolving Ads Manager self-service performance and UX reporting 

What You'll Do

• 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
• Create and execute experiments aimed at incrementally improving user and advertiser metrics via efficient testing methods
• 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

Who You Are

• 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
• 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
• Ideally you have experience working in a 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)
• Experience performing analysis with large datasets
• 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 curious, exhibit a growth mindset and are excited by working on a constantly evolving team

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
• This team operates within the U.S. Eastern time zone for collaboration.

The United States base range for this position is $110,018.00 - 157,169.00, 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.