Senior Data Scientist - Ads Data Platform

Spotify • New York, NY

76d • $143,023 - $204,319 • Remote

About The Position

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 hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. The Ads Data Platform team is seeking a senior-level data scientist to help build our ad measurement products. You will support the building of our experimentation platform and related measurement solutions for advertisers, allowing them to optimize their campaigns on Spotify. You will work alongside product managers, engineers, and product marketers, leading the development of our measurement offerings from a data science perspective. As part of the Advertising team, you'll work on the latest advertising technologies to connect millions of brands to billions of fans. We're paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Join us and help build the product solutions that empower this!

Requirements

• 5+ years of experience in a similar data science role and a degree in a quantitative subject area.
• Comfortable building and maintaining large, complex datasets.
• Technical competence to perform advanced analytics and data extraction (using SQL, and Python or R).
• Ability to explain complex concepts to non-technical stakeholders and conduct nuanced discussions with engineers.
• Deep knowledge of statistical inference, preferably including experience with Bayesian methods.
• Experience in experimental design / causal inference.
• Experience taking a project idea and bringing it to life through self-driven scoping, planning, and stakeholder communication.

Nice To Haves

• Ad tech experience is a plus.

Responsibilities

• Partner with product and engineering to understand audience product problems and propose data-driven solutions.
• Deliver solutions to challenging, large-scale problems with complexity and ambiguity independently.
• Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large datasets.
• Communicate data-driven insights and recommendations to key partners.
• Work closely with a cross-functional team of product owners, product marketers, and engineers.
• Prioritize business solutions, regardless of product area.

Benefits

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

What This Job Offers

• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees