At a Glance
- Tasks: Drive sustainability through cost and climate intelligence at Spotify.
- Company: Join Spotify, a leader in audio streaming with a mission to empower creativity.
- Benefits: Flexible work location, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact on Spotify's sustainability journey while optimising costs.
- Qualifications: Experience in data science, strong communication skills, and familiarity with cloud cost optimisation.
- Other info: Collaborative team environment focused on innovation and inclusivity.
The predicted salary is between 28800 - 48000 £ per year.
At Spotify, we believe in the power of creativity to change the world. To make that possible, we need to build and scale our infrastructure in a way that's both cost-efficient and climate-conscious. That’s where you come in. We are looking for a Data Scientist to join the Cost Engineering Product Area, whose mission is to drive sustainability through cost and climate intelligence, amplifying Spotify's ability to deliver creativity to the world. Cost Engineering is responsible for optimizing the cost and carbon footprint of our infrastructure and software. Our team operates at the intersection of technology, product, procurement, and finance, making it one of the most dynamic and impactful places to work at Spotify.
As an Analytics Specialist in Cost Engineering, you’ll build decisions that drive Spotify's technological and financial trajectory. By revealing impactful findings, you’ll assist us in improving both expenses and environmental impact, allowing Spotify to expand sustainably while minimizing our climate influence.
What You’ll Do
- Pinpoint the key opportunities for optimizing costs and reducing carbon impact, teaming up with Engineering to propel them forward.
- Provide insights that directly influence Procurement and Technology Infrastructure strategies, shaping how Spotify invests in and scales its infrastructure.
- Take ownership of our cloud carbon emissions reporting methodology and tooling, ensuring it continues to evolve in close collaboration with the Head of Climate and Sustainability.
- Work with Engineering to build new datasets that power the next generation of carbon and cost intelligence tools.
- Make a direct impact on Spotify's sustainability journey, reducing both costs and carbon emissions at massive scale.
- Be part of a mission-driven team that combines deep technical expertise with tangible business impact.
Who You Are
- A data scientist with proven experience delivering insights that influence business and technical strategy.
- Hold a degree in data science, computer science, statistics, economics, mathematics, or another quantitative field.
- Thrive in environments with high uncertainty, using data to cut through ambiguity and recommend clear paths forward.
- An excellent communicator who can tell compelling stories with data, making sophisticated topics understandable and inspiring for varied audiences.
- Familiar with accounting and financial concepts and able to connect numbers to real-world impact.
- Collaborative by nature-valuing positive relationships with colleagues and cross functional partners.
- Hands on experience with cloud cost optimization (GCP preferred) and emissions reporting methodologies.
- Skilled in tools like Python, DBT, BigQuery, SQL, and Tableau to turn sophisticated data into actionable insights.
Where You’ll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on call restrictions). This team operates within the Central European and GMT time zone for collaboration.
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.
Data Scientist – Cost Engineering (FinOps) employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Cost Engineering (FinOps)
✨Tip 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 Cost Engineering. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by diving deep into Spotify's mission and values. Understand how your skills in data science can contribute to their sustainability goals. Show them you’re not just a fit for the role, but also for the company culture!
✨Tip Number 3
Practice your storytelling skills with data. Be ready to explain complex concepts in simple terms. Use examples from your past work to demonstrate how your insights led to impactful decisions. This will help you stand out during interviews!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Spotify team. Let’s get you that dream job!
We think you need these skills to ace Data Scientist – Cost Engineering (FinOps)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with cost optimisation and sustainability, as these are key to what we’re looking for at Spotify.
Showcase Your Skills: Don’t forget to mention your technical skills! We want to see your proficiency in Python, SQL, and any cloud cost optimisation tools you've used. This is your chance to shine!
Tell a Story with Data: As an excellent communicator, you should be able to present your data insights compellingly. Use examples from your past work to illustrate how your findings have influenced business decisions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our mission-driven team!
How to prepare for a job interview at Spotify
✨Know Your Data Inside Out
As a Data Scientist, you’ll need to showcase your analytical skills. Brush up on your experience with Python, SQL, and cloud cost optimisation tools like GCP. Be ready to discuss specific projects where you’ve turned complex data into actionable insights.
✨Connect the Dots
Spotify is all about creativity and impact. Prepare to explain how your work has influenced business strategies in the past. Think of examples where your insights led to cost savings or reduced carbon emissions, and be ready to share those stories.
✨Collaborate Like a Pro
This role requires teamwork across various departments. Highlight your collaborative experiences and how you’ve built positive relationships with colleagues. Be prepared to discuss how you can work with Engineering and Procurement to drive sustainability initiatives.
✨Communicate Clearly
You’ll need to make complex topics understandable for diverse audiences. Practice explaining your past projects in simple terms, focusing on the impact rather than just the technical details. This will show that you can tell compelling stories with data.