Data Scientist - Discovery Mode
音乐使命使音乐创作者能够在 Spotify 上增长，参与和利他们的粉丝群。音乐任务的愿景是为艺术家和标签团队开发促销工具，由 Spotify 对听众行为的深入了解所推动。发现模式，马基，展示场景，音乐视频和剪辑等产品帮助艺术家及其团队增加观众，与粉丝联系并实现 Spotify 上的目标。我们正在寻找数据科学家加入音乐任务内的发现模式。发现模式是一个专业的艺术家和音乐营销人员的工具，旨在帮助找到新听者最重要的时候。在发现模式下，艺术家和标签确定了优先级的歌曲，我们的系统使用该信号来通知个人化推的算法。这个角色位于 ML 团队内部，它构建并运营了 Discovery Mode 测量系统背后的模型，你将担任团队的分析领导者。在这一职位中，你将与产品经理和 ML 工程师密切合作评估和改进驱动 DiscoveryMod 的模型。通过设计实验，开发评估框架以及建立帮助我们保持模型准确，可靠和对艺术家产生影响力的分析基础，你将解决复杂的分析问题。作为音乐使命的产品洞察团队的一部分，你将帮助塑造 Spotify 最重要的促销产品之一背后的测量系统。你会做什么 ·拥有发现模式 ML 阵容的分析功能，推动评估和不断改进模型的测量和竞选优化 ·与 ML 工程师合作开发评估框架并确定改善模型性能，可靠性和客户影响的机会 ·设计和执行严格实验来评估模型质量，衡量结果和指导模型发展 · 进行深入分析来评估模型性能，并将发现转化为产品和业务利益相关者明确可行的建议 · 建立，维护和发展跟踪模型健康，客户指标和程序绩效的仪表板 · 与产品经理，工程师和跨职能合作伙伴协作，以与团队目标和客户需求协调分析优先事项 ·通过分享最佳实践，帮助提高整个探索领域的分析标准，促进更广泛的产品洞察社区
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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.
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.
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.
Originally posted on Himalayas