At a Glance
- Tasks: Design performance metrics, analyse data, and create impactful visualisations.
- Company: Join Spotify, the worldās leading audio streaming service, in a dynamic team.
- Benefits: Flexible work options, competitive salary, and a culture of inclusivity.
- Why this job: Shape the future of audio by driving data-driven decisions at Spotify.
- Qualifications: Experience in data science, programming, and collaboration with cross-functional teams.
- Other info: Opportunities for growth in a supportive and innovative environment.
The predicted salary is between 36000 - 60000 £ per year.
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering). We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decisionāmaking.
As a Data Scientist on the team, you will collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidenceādriven decisions.
What You Will Do- Partner with Insights Leads and senior data scientists to design and build performance metric frameworks.
- Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions.
- Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact.
- Scope, prioritize, and execute projects including A/B tests and other experimentation approaches.
- Apply statistical and causal inference methods to evaluate product changes for internal and external users.
- Create compelling data stories through visualizations and reporting that influence decisionāmaking across the Alliance.
- Grow into a strategic analytical partner by taking on increasingly complex data challenges.
- You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action.
- You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact.
- You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies.
- You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and largeāscale data technologies.
- You care about building reliable metrics and helping teams make informed decisions using trustworthy data.
- You have experience collaborating with engineers, product managers, and crossāfunctional partners.
- You are curious, adaptable, and excited to grow your craft over time.
This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some ināperson meetings, but still allows for flexibility to work from home.
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 is 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 forwardāthinking! So bring us your personal experience, your perspectives, and your background. It is 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 ā we are here to support you in any way we can.
Data Scientist II - Platform Mission in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Scientist II - Platform Mission in London
āØTip Number 1
Network like a pro! Reach out to current or former Spotify employees on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Platform team. Personal connections can make a huge difference!
āØTip Number 2
Prepare for your interviews by brushing up on your data science skills. Make sure you can confidently discuss your experience with A/B testing, causal inference, and data visualisation tools like Tableau or Looker. We want to see how you think and solve problems!
āØTip Number 3
Show off your passion for data! Create a portfolio showcasing your projects, especially those that involve complex datasets and impactful insights. This will help us see your analytical skills in action and how you approach real-world challenges.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen. Plus, it shows us youāre genuinely interested in being part of the Spotify family. Letās get you on board!
We think you need these skills to ace Data Scientist II - Platform Mission in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the Data Scientist II role. Highlight your experience with experimentation, causal inference, and any relevant programming languages like Python or R. We want to see how your skills align with what weāre looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why youāre excited about the role and how your background makes you a great fit. Donāt forget to mention your passion for data storytelling and collaboration with cross-functional teams.
Showcase Your Projects: If youāve worked on any interesting projects, especially those involving A/B testing or data visualisation, make sure to include them in your application. We love seeing real-world examples of how youāve tackled complex datasets and derived insights!
Apply Through Our Website: We encourage you to apply through our website for the best experience. Itās super easy, and youāll be able to keep track of your application status. Plus, we canāt wait to see what you bring to the table!
How to prepare for a job interview at Spotify
āØKnow Your Data Science Stuff
Make sure you brush up on your knowledge of statistical techniques, causal inference, and experimentation methods. Be ready to discuss how you've applied these in past projects, especially in relation to performance metrics and A/B testing.
āØShow Off Your Visualisation Skills
Prepare to showcase your experience with data visualisation tools like Tableau or Looker. Bring examples of dashboards or reports you've created that effectively communicated insights and influenced decision-making.
āØCollaborate Like a Pro
Highlight your experience working with cross-functional teams, including engineers and product managers. Be ready to share specific examples of how you've collaborated to solve complex data challenges and drive clarity in decision-making.
āØAsk Insightful Questions
During the interview, don't hesitate to ask questions that show your curiosity about the role and the team. Inquire about the types of datasets you'll be working with, the challenges the SAFE Insights team faces, and how they measure success in their projects.