We are looking for a seasoned data scientist with experience providing insights to platform organizations to join the Personalization Platform team. The Personalization Platform team builds the models, tools, and data products that represent user taste, behavior, discovery, and their relationships with content. Your work will help us measure the impact of our platform and explore new opportunities to improve our understanding of users and the audio they love. What You'll Do <ul><ul><li>Develop research questions and conduct data analysis to understand internal usage of our data products as well as their impact on Spotify's users</li><li>Design and analyze experiments and perform causal inference when A/B testing is not an option</li><li>Evaluate the performance of ML models in online and offline settings</li><li>Define, evaluate, and monitor key metrics</li></ul></ul> Who You Are <ul><ul><li>At least 3 years of professional experience as a data scientist in a related tech/consumer field</li><li>Technical competence to perform advanced analytics: coding skills (such as R, Python, or Scala), experience with analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets</li><li>Significant expertise in experimentation and causal inference</li><li>You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences</li><li>You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others</li></ul></ul> Where You'll Be <ul><ul><li>We offer you the flexibility to work where you work best! For this role, you can be within the Eastern time zone as long as we have a work location. </li></ul></ul> The United States base range for this position is $107,766.00- 153,951.00 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, paid sick leave. These ranges may be modified in the future.

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. Calling all statistical inference aficionados! We need your help in Ads building the measurement tools necessary to become a top tier ad platform. The customers we have today and those we aim to have tomorrow require measurement of campaign outcomes: from top of funnel reach, to mid-funnel brand resonance, to lower funnel conversions on and off platform. We are building an experimentation platform for advertisers to meet their many needs. The special constraints of our customers call for specialized techniques for inference from experiments, such as methods for estimation with small sample sizes (e.g. multilevel modeling), and early peeking at results (e.g. sequential testing). We are recruiting for a senior data scientist to build these methods. This is a greenfield opportunity to build statistical tools at scale that will grow our Ads business. What You'll Do <ul><ul><li>Build scalable statistical tools for advertiser experimentation products</li><li>Perform analyses on large sets of data to extract practical insights that will help drive product, platform, and business decisions</li><li>Communicate data-driven insights and recommendations to key partners</li><li>Work closely with cross-functional teams of engineers, user researchers, product owners, designers, and business decision-makers who are passionate about Spotify's success</li><li>Develop individually to continue to grow your impact, and help mentor peers</li></ul></ul> Who You Are <ul><ul><li>You have 5+ years of experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject areas. Advanced degree is a plus.</li><li>You have a strong understanding of statistics and extensive experience using various analysis techniques. Ideally, you have expertise in Bayesian methods, experimentation, experimentation / causal inference, and sequential significance testing.</li><li>You have experience building statistical / analytical tools and services, ideally at scale.</li><li>You effectively communicate with a wide range of cross-functional partners: you are able to both explain complex concepts to non-technical stakeholders and have technical discussions with engineers</li><li>You are comfortable with ambiguity and fluidity: you are able to initiate, refine and drive projects to completion with minimal guidance, adapting to new learnings and changing contexts </li></ul></ul> Where You'll Be <ul><ul><li>Where in the world? For this role, it can be within the North America region where we have a work location</li><li>Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.</li><li>Working hours? We operate within the Eastern Standard time zone for collaboration. </li></ul></ul> The United States base range for this position is $140,096 - $200,137, 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. 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. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. We are looking for a Senior Machine Learning Engineer to join our team. We are at the forefront of deriving foundational knowledge through vectors and representations of music content and users' taste, which are key for Spotify teams to create personalized, engaging experiences. This is a unique opportunity to help develop and improve our next-gen user representations, and shape the way Spotify recommendations work. You'll build machine learning products at scale, drive a ton of business impact, and join a high-energy, positive team environment! Join us and you'll keep millions of users listening to great recommendations every day. What You'll Do <ul><ul><li>Contribute to designing, building, evaluating, shipping, and refining Spotify's personalization products by hands-on ML development</li><li>Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways</li><li>Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users</li><li>Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization</li><li>Be part of an active group of machine learning practitioners across Spotify</li></ul></ul> Who You Are <ul><ul><li>You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in machine learning algorithms for recommender systems</li><li>Familiarity or a hands-on experience with representation learning is a big plus</li><li>You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages</li><li>Experience with TensorFlow, PyTorch, XGBoost, etc is a strong plusYou have experience with data pipeline tools like Apache Beam, Scio, etc., and cloud platforms like GCP or AWS</li><li>You care about agile software processes, data-driven development, reliability, and disciplined experimentation</li><li>You routinely survey research publications in the machine learning and software engineering communities</li><li>You love your customers even more than your code</li></ul></ul> Where You'll Be <ul><ul><li>We offer you the flexibility to work where you work best! For this role, you can be within the Eastern time zone as long as we have a work location. </li></ul></ul> The United States base range for this position is $171,903.00- 245,575.00 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, 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. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. We are looking for a Data/Backend Engineer to join our team. We are at the forefront of deriving foundational knowledge through vectors and representations of music content and users' taste, which are key for Spotify teams to create personalized, engaging experiences. This is a unique opportunity to help develop and improve our next-gen user representations, and shape the way Spotify recommendations work. You'll be able to grow your skills in engineering at scale, drive a ton of business impact, and join a high-energy, positive team environment! Join us and you'll keep millions of users listening to great recommendations every day. What You'll Do <ul><ul><li>Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam</li><li>Develop, deploy, and operate Java services that impact millions of users</li><li>Work on machine learning projects powering the experience that suits each user individually</li><li>Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day</li><li>Deliver scalable, testable, maintainable, and high-quality code</li><li>Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.</li></ul></ul> Who You Are <ul><ul><li>You have Data Engineering experience and you know how to work with high- volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS or Azure</li><li>You know Scala language well, and are interested in spreading this knowledge in the team</li><li>You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, Flink etc</li><li>You have hands-on experience with high-volume services in Java. Python experience is also a plus</li><li>You might have worked with Docker as well as Luigi, Airflow, or similar tools</li><li>You care about quality and you know what it means to ship high quality code</li><li>You care about agile software processes, data-driven development, reliability, and responsible experimentation</li><li>You understand the value of collaboration and partnership within teams</li><li>If you have experience with (of interest in) product management, that would be a plus, but it's not required</li></ul></ul> Where You'll Be <ul><ul><li>We offer you the flexibility to work where you work best! For this role, you can be within the Eastern time zone as long as we have a work location. </li></ul></ul> The United States base range for this position is $122,716.00- 175,308.00 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, 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. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

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Data Scientist IiMay 14, 2024

Senior Data Scientist Spotify AdvertisingMay 11, 2024

Senior Machine Learning EngineerMay 11, 2024

Data Engineer IiMay 11, 2024

Senior Data ScientistApril 21, 2024

Machine Learning Engineering ManagerApril 16, 2024

Senior Machine Learning EngineerApril 16, 2024