Data Science Manager

Summary

Join Spotify's Global On-Platform Marketing team as a Data Science Manager! Lead a team of data scientists supporting owned-channel campaigns and infrastructure, shaping future direction and channel strategy. Define critical metrics, report on business impacts, and collaborate cross-functionally to enhance data-driven decision-making. You'll leverage Spotify's vast data to derive insights and strategies, impacting how the world experiences audio. This role requires strong analytical skills, people management experience, and excellent communication abilities. The position is based in NYC with flexible work options.

Requirements

• Bachelor's degree in Economics, Statistics, Mathematics, Engineering or equivalent
• 5+ years of experience in Data Analytics or related occupation
• 2+ years of experience in people management within data science
• Experience with complex data analysis using SQL and Python
• Experience with experimentation methods such as A/B testing and RCTs
• Proficiency in data visualization tools like Tableau
• Ability to communicate data analytics to a broad range of stakeholders
• Experience in architecting and scheduling data pipelines
• Comfortable working on a globally distributed team

Responsibilities

• Manage and mentor a team of data scientists
• Collaborate to define the team's long-term roadmap in alignment with marketing priorities
• Direct pipelining and data infrastructure work
• Deliver thoughtful analysis and insights around on-platform marketing campaigns
• Present your findings to marketing & xfn partners
• Design and implement comprehensive tests, making sure that we track all relevant metrics and that we're learning at every step along the way
• Create and communicate thoughtful recommendations that improve the impact & effectiveness of our marketing messages
• Work closely with our Marketing & Consumer Insights team to connect off-platform data & insights with our 1st party campaign data

Preferred Qualifications

• Machine learning experience including forecasting or feature engineering is a plus
• Relevant experience in a consumer tech/product company is a plus

Benefits

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• 23 paid days off
• 13 paid flexible holidays
• Paid sick leave