At a Glance
- Tasks: Transform complex data into clear insights and recommendations for Spotify's planning and execution.
- Company: Join Spotify, a leading tech company focused on innovation and inclusivity.
- Benefits: Flexible work options, extensive learning opportunities, and generous parental leave.
- Other info: Dynamic team environment with a focus on diversity and personal growth.
- Why this job: Shape real decisions with your analysis and explore AI's impact on insights.
- Qualifications: 5+ years in a quantitative field, strong SQL and Python skills.
The predicted salary is between 42750 - 52250 £ per year.
How does a company with thousands of people building hundreds of products stay focused on what matters most?
That's the question the Company Planning and Execution (CPE) team works on every day.
We design the systems, processes, and insights that help Spotify plan, prioritise, and deliver at scale.
As a Data Scientist on CPE, you'll sit at the intersection of data, strategy, and operations.
You'll bring clarity to complex questions by turning operational and strategic information into clear stories, recommendations, and decision frameworks that help leaders and teams act faster and smarter.
You'll also explore how AI and automation can change the way people access insights and make decisions.
You'll work closely with data scientists, engineers, PMs, and business partners across the company to help refine how Spotify executes at scale.
If you like making sense of ambiguity, care about how organisations work, and want your analysis to shape real decisions, this is the role.
What You'll Do
- Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences.
- Apply analytical techniques - including statistical models and machine learning - to identify trends and generate insights that improve how we work.
- Build and maintain the data models, pipelines, and dashboards that provide visibility into how Spotify plans and executes.
- Develop structured narratives and recommendations - not just charts, but the \"why\" and \"so what\" - in our semi-annual Planning and Execution Insight reports and recurring briefings.
- Explore how AI and automation can make insights faster to produce and easier to access across the company.
Who You Are
- Curious about how organisations work - not just the data, but the decisions and systems behind it.
- 5+ years of experience with a quantitative background in science, economics, engineering, or a related field.
- Strong interpersonal skills and comfortable working with multiple stakeholders across levels and functions.
- Able to take messy, complex datasets and turn them into clear recommendations and stories that land with non-technical audiences.
- Proficient in SQL and Python, comfortable in Big Query, and experienced with tools like dbt, Tableau, or Looker.
- Experience with operational or work management data is a plus.
- Where You'll Be
- This role is based in London or Stockholm.
- We offer you the flexibility to work where you work best, with 2-3 days per week in the office.
- Learn about life at Spotify
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.
- Extensive learning opportunities, through our dedicated team, Green House.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - 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.
- #J-18808-Ljbffr
Data Scientist, Company Planning & Execution employer: Spotify AB
Spotify is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to numerous development opportunities while working alongside industry leaders in programmatic advertising. The collaborative environment encourages creativity and strategic thinking, making it a rewarding place to advance your career in the fast-paced world of digital media.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Company Planning & Execution
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Spotify AB!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist, Company Planning & Execution at Spotify AB.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Spotify AB.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist, Company Planning & Execution at Spotify AB, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist, Company Planning & Execution
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Spotify AB, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Spotify AB. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Spotify AB
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Spotify AB!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
