Data Scientist, Spotify
Advertising, Growth Marketing
$117-167.1k
+ Equity
Commercial music streaming service
Be an early applicant
Commercial music streaming service
1001+ employees
Be an early applicant
$117-167.1k
+ Equity
1001+ employees
Company mission
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 opportunity to enjoy and be inspired by it
Role
Who you are
- 4+ years of experience in a data science role, with a degree in economics, statistics, or a related quantitative field
- Deep understanding of paid media and digital advertising ecosystems, with hands-on experience in marketing analytics
- Proven experience building and evolving Marketing Mix Models (MMM), translating model outputs into marginal ROAS curves, budget allocation recommendations, and scenario planning guidance
- Experience developing and applying multi-touch attribution (MTA) methodologies to inform channel and campaign performance optimization
- Strong track record designing and analyzing A/B tests and incrementality experiments to measure lift and causal impact
- Strong foundation in statistics and machine learning, with the technical depth to perform advanced analytics and build robust models
- Experience building and maintaining data pipelines (e.g., DBT) and developing scalable dashboards in tools such as Tableau and/or Looker to enable self-serve insights
- Proven ability to solve ambiguous, loosely defined problems and translate them into structured, data-driven solutions
- Ability to operate independently with minimal oversight while delivering high-quality, reliable work
- Skilled at building relationships, leading strategic data-driven discussions, and identifying opportunities to support business growth
- Clear communicator who can translate complex technical concepts into simple, actionable insights to non-technical audiences
- Motivated to work alongside AI tools, with foundational LLM knowledge and awareness of emerging concepts (e.g., MCP, agent-based systems) and their productivity implications
What the job involves
- We’re looking for a Data Scientist to join Spotify Advertising’s Growth pod—a team of data scientists and analytics engineers focused on unlocking insights and building scalable data products that power advertisers and revenue growth
- Our work spans lead scoring, attribution modeling, metric design, experimentation, and causal inference
- As we increase investment in paid media and continue scaling automated buying channels, we’re entering our next phase of growth
- While we’ve built strong foundations—including multi-touch attribution (MTA), lifetime value model (LTV) and marketing mix modeling (MMM) — there's a significant opportunity to deepen our insights, refine our models, and drive greater impact
- In this role, you’ll help expand and operationalize our marketing science toolkit—expanding model capabilities and ensuring they inform clear, outcome-driven decisions
- Your work may span: Marketing Attribution Models, Paid Media Spend Optimization, Growth Analytics, Forecasting & Scenario Modeling, Incrementality & Lift Measurement, Insights Automation & Dashboards, Data Infrastructure & Signal Engineering
- You’ll play a key role in turning complex data into scalable solutions that directly influence how we invest, optimize, and grow
- Partner with other data scientists, analytics engineers, and business stakeholders to generate actionable insights that inform paid media strategy and execution
- Contribute to the development and enhancement of marketing attribution models (e.g., MTA, MMM, LTV), working closely with stakeholders to define MMM inputs, establish modeling constraints, validate findings, generate marginal ROAS curves, and translate insights into actionable budget scenario planning
- Design and implement experiments and statistical models to evaluate incrementality, lift, and media effectiveness, including delivering high-profile experimentation readouts to senior stakeholders
- Build and maintain data pipelines and dashboards that enable data-informed financial decisions and optimize ROAS and customer LTV
- Translate ambiguous business problems into structured analytical approaches and deliver high-impact solutions independently
- Write production-quality code (Python, SQL, etc.) to manipulate and analyze large-scale datasets
- Communicate clear, data-driven recommendations to both technical and non-technical partners
Our take
Spotify was founded in an attempt to combat the rampant music piracy that was causing significant harm to the industry. The company has since taken music streaming mainstream and now has 180m+ paying subscribers across the world.
With features that include a highly accessible interface and a vast catalogue of artists, Spotify's strong brand has been able to maintain growth in spite of fierce competition from deep-pocketed rivals like Amazon and Apple. The company has achieved this by making smart acquisitions to move into other verticals to strengthen its offerings, especially podcasting, by acquiring Gimlet Media, Anchor and Parcast.
Spotify's future plans include rapid growth with a goal to become a one-stop destination for all digital sound, as well as AI and NFT integrations. However, high costs incurred from the acquisition of exclusive podcasts, increasing competitor strength, and weak bottom-line growth mean that the company must find a balance to maintain its position in the sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2016
$1bn
CONVERTIBLE
Jun 2015
$526m
SERIES G
Total funding: $2.1bn
Company benefits
- Extensive learning opportunities, through our dedicated team, GreenHouse
- Flexible share incentives letting you choose how you share in our success
- Global parental leave, six months off - fully paid - for all new parents
- All The Feels, our employee assistance program and self-care hub
- Flexible public holidays, swap days off according to your values and beliefs
Company HQ
Norrmalm, Stockholm, Stockholms län
Leadership
Daniel Ek
(CEO & Chairman)Founded Spotify in 2006. Previously worked as an executive at Tradera, an auction company that was sold to eBay and was briefly the CEO of uTorrent.
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