数据科学家 - 音乐使命
Data Scientist - Music Mission
音乐使命让音乐创作者能够在Spotify上增长、互动并变现他们的粉丝基础。音乐使命的核心愿景是开发用于艺术家和唱片公司团队的推广工具，这些工具依托于Spotify对听众行为的深入了解。像Discovery Mode、Marquee、Showcase、音乐视频和Clips等产品帮助艺术家及其团队扩大受众，与粉丝建立联系，并在Spotify上实现他们的目标。
我们正在寻找一名数据科学家加入音乐使命中的Discovery Mode团队。Discovery Mode是一款为艺术家和音乐营销人员设计的工具，旨在帮助他们在最关键的时候找到新听众。通过Discovery Mode，艺术家和唱片公司可以识别出优先级较高的歌曲，我们的系统会利用这一信号来优化推动个性化推荐的算法。该职位隶属于构建和运营Discovery Mode测量系统模型的机器学习小组，你将担任该小组的分析负责人。
在这个职位上，你将与产品经理和机器学习工程师紧密合作，评估和改进驱动Discovery Mode的模型。你将通过设计实验、开发评估框架以及构建分析基础来解决复杂的分析问题，从而确保我们的模型准确、可靠且对艺术家有影响力。作为音乐使命产品洞察团队的一员，你将帮助塑造Spotify最重要的推广产品之一的测量系统。
该职位的美国基准薪资范围为116,994至167,135美元，外加股权。该职位提供的福利包括健康保险、六个月带薪育儿假、401(k)退休计划、每月餐饮补贴、23天带薪假期、带薪灵活节假日和带薪病假。这些薪资范围可能会在未来进行调整。
Spotify是一家平等机会雇主。无论你来自哪里、长什么样，或耳机里播放的是什么，你都可以在Spotify找到属于自己的位置。我们的平台面向所有人，我们的工作场所也是如此。我们越能代表和放大多样化的观点，我们就能越成功地发展、贡献并保持前瞻性！所以，请带来你的个人经历、视角和背景。正是我们的差异，让我们能够不断革新世界聆听音乐的方式。
在Spotify，我们热衷于包容性，并确保整个招聘过程对每个人都是可访问的。
查看英文原文
The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify.
We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead.
In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.
The United States base range for this position is $116,994 - $167,135 USD, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
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.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
What You'll Do
- Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization
- Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact
- Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development
- Conduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders
- Build, maintain, and evolve dashboards that track model health, customer metrics, and program performance
- Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs
- Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode
Who You Are
- You have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field
- You have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions
- You know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor
- You have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes
- You are comfortable working in a highly technical environment and collaborating closely with engineering partners
- You communicate complex statistical concepts clearly to both technical and non-technical audiences
- You have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams
- You have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.