Data Contributor Jobs at Spotify with Visa Sponsorship
Data Contributor roles at Spotify sit at the intersection of music data, audio metadata, and content systems that power global streaming. Spotify has a consistent track record of sponsoring international talent in data-focused functions, making it a realistic target for skilled candidates who need H-1B or employment-based Green Card support.
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Get Access To All JobsINTRODUCTION
The Subscriptions team drives how Spotify grows by building compelling ways for listeners to experience and pay for Premium. We focus on creating the right plans, pricing, and value so that millions of listeners choose Spotify every day—and keep coming back. You’ll join the Premium Desirability Data Science team within Subscriptions Product Insights. This team focuses on understanding what makes Spotify Premium valuable to listeners—and how we can make it even better. We look at what drives people to subscribe, what keeps them engaged, and how we can continuously improve the Premium experience. You’ll work closely with Product, Engineering, Design, and Research to shape decisions that impact millions of users around the world.
ROLE AND RESPONSIBILITIES
What You'll Do
- Explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement.
- Design and analyze experiments to understand the impact of new features and product changes.
- Build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output.
- Define and track meaningful metrics that reflect the health and value of the Premium experience.
- Develop dashboards and tools that help teams monitor performance and make informed decisions.
- Investigate user behavior trends and bring forward insights that shape product direction.
- Partner closely with cross-functional teams to align on goals and translate data into action.
- Communicate insights clearly to a wide range of audiences, including senior stakeholders.
- Contribute to a strong, collaborative data culture by sharing knowledge and supporting peers.
BASIC QUALIFICATIONS
Who You Are
- You have 4+ years of experience in data science or analytics, working with product or business teams.
- You bring a strong foundation in statistics, economics, mathematics, computer science, or a similar field, or equivalent practical experience.
- You are confident working with large datasets and have strong skills in SQL and Python.
- You have experience designing and analyzing experiments and understand how to measure impact with rigor.
- You are comfortable owning projects end-to-end, from framing the problem to delivering actionable insights.
- You have experience applying AI or automation in analytics workflows by integrating LLM’s to streamline multi-step analyses.
- You communicate complex ideas in a clear, structured and engaging way.
- You are curious, proactive, and comfortable working in a fast-moving environment with some ambiguity.
- You enjoy collaborating across teams and building strong working relationships.
- You have experience in consumer products, subscriptions, or monetization-focused environments.
LOCATION
- This role is ideally based in New York City, United States.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
COMPENSATION
- The United States base range for this position is $116,995 - $167,135, 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. 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.
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.
INTRODUCTION
The Subscriptions team drives how Spotify grows by building compelling ways for listeners to experience and pay for Premium. We focus on creating the right plans, pricing, and value so that millions of listeners choose Spotify every day—and keep coming back. You’ll join the Premium Desirability Data Science team within Subscriptions Product Insights. This team focuses on understanding what makes Spotify Premium valuable to listeners—and how we can make it even better. We look at what drives people to subscribe, what keeps them engaged, and how we can continuously improve the Premium experience. You’ll work closely with Product, Engineering, Design, and Research to shape decisions that impact millions of users around the world.
ROLE AND RESPONSIBILITIES
What You'll Do
- Explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement.
- Design and analyze experiments to understand the impact of new features and product changes.
- Build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output.
- Define and track meaningful metrics that reflect the health and value of the Premium experience.
- Develop dashboards and tools that help teams monitor performance and make informed decisions.
- Investigate user behavior trends and bring forward insights that shape product direction.
- Partner closely with cross-functional teams to align on goals and translate data into action.
- Communicate insights clearly to a wide range of audiences, including senior stakeholders.
- Contribute to a strong, collaborative data culture by sharing knowledge and supporting peers.
BASIC QUALIFICATIONS
Who You Are
- You have 4+ years of experience in data science or analytics, working with product or business teams.
- You bring a strong foundation in statistics, economics, mathematics, computer science, or a similar field, or equivalent practical experience.
- You are confident working with large datasets and have strong skills in SQL and Python.
- You have experience designing and analyzing experiments and understand how to measure impact with rigor.
- You are comfortable owning projects end-to-end, from framing the problem to delivering actionable insights.
- You have experience applying AI or automation in analytics workflows by integrating LLM’s to streamline multi-step analyses.
- You communicate complex ideas in a clear, structured and engaging way.
- You are curious, proactive, and comfortable working in a fast-moving environment with some ambiguity.
- You enjoy collaborating across teams and building strong working relationships.
- You have experience in consumer products, subscriptions, or monetization-focused environments.
LOCATION
- This role is ideally based in New York City, United States.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
COMPENSATION
- The United States base range for this position is $116,995 - $167,135, 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. 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.
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.
See all 44+ Data Contributor at Spotify jobs
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Get Access To All JobsTips for Finding Data Contributor Jobs at Spotify Jobs
Align your portfolio with streaming data systems
Spotify's Data Contributor roles often involve audio metadata, catalog management, and content ingestion pipelines. Frame past experience around data quality, taxonomy, or large-scale media datasets, not generic analytics work, so your background maps directly to music streaming infrastructure.
Target roles during Spotify's hiring cycles
Spotify tends to post data roles ahead of H-1B cap season, which opens each April 1. If you need cap-subject H-1B sponsorship, apply in Q4 or early Q1 so an offer and I-129 filing can align with the registration window.
Confirm the role qualifies as a specialty occupation
USCIS requires H-1B positions to qualify as specialty occupations requiring a bachelor's degree or higher in a specific field. Data Contributor roles at Spotify that involve systems architecture or content data engineering typically meet this threshold more clearly than general data entry functions.
Use Migrate Mate to identify open Data Contributor roles at Spotify
Filtering for visa-sponsoring employers in the music and streaming sector saves significant time. Migrate Mate surfaces Spotify's active Data Contributor listings so you can apply directly to roles where sponsorship is confirmed, not assumed.
Prepare your degree equivalency documentation in advance
If you hold a three-year bachelor's degree or a qualification from outside the U.S., obtain a credential evaluation from a NACES-approved evaluator before Spotify's legal team files your Labor Condition Application with the DOL. Delays at this stage can push your start date back by weeks.
Data Contributor at Spotify jobs are hiring across the US. Find yours.
Find Data Contributor at Spotify JobsFrequently Asked Questions
Does Spotify sponsor H-1B visas for Data Contributors?
Yes, Spotify sponsors H-1B visas for Data Contributor roles. Sponsorship is handled through Spotify's internal immigration team, which works with outside counsel to file Labor Condition Applications with the DOL and I-129 petitions with USCIS. Roles involving content data systems, metadata management, or catalog engineering have historically supported H-1B specialty occupation filings.
How do I apply for Data Contributor jobs at Spotify?
Applications for Data Contributor positions at Spotify go through Spotify's careers portal. You can also browse current openings filtered by visa sponsorship on Migrate Mate, which surfaces active Spotify roles where sponsorship is a confirmed option. Tailor your resume to highlight music data, content pipeline experience, or audio metadata work to strengthen your application.
Which visa types does Spotify typically use for Data Contributor roles?
Spotify sponsors H-1B visas for most Data Contributor roles requiring a relevant bachelor's degree or higher. For longer-term pathways, Spotify also supports EB-2 and EB-3 Green Card sponsorship, which involves PERM labor certification filed with the DOL before an immigrant visa petition is submitted to USCIS. The right pathway depends on your qualifications and career stage.
What qualifications does Spotify expect for Data Contributor positions?
Spotify's Data Contributor roles generally require a bachelor's degree in a field like information science, computer science, library science, or a related discipline. Practical experience with metadata standards, content management systems, or large-scale data ingestion is weighted heavily. Familiarity with music industry data structures or audio content ecosystems strengthens your candidacy significantly.
How do I manage my visa timeline while waiting for a Spotify offer?
If you're on OPT, confirm your OPT expiration date and whether you qualify for a 24-month STEM extension, which would give you additional runway. For cap-subject H-1B candidates, Spotify needs to submit the USCIS registration in March and file the petition by late June if selected. Build that timeline into your offer negotiation so your start date is realistic.
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