Data Scientist II - Platform Mission

Data Scientist II - Platform Mission

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Dangote Industries Limited

At a Glance

  • Tasks: Design performance metrics and analyse data to drive impactful decisions.
  • Company: Join Spotify, a leading tech company revolutionising how the world listens.
  • Benefits: Flexible work options, competitive salary, and a culture of inclusivity.
  • Other info: Dynamic team environment with opportunities for growth and collaboration.
  • Why this job: Shape product thinking and influence decisions with your data insights.
  • Qualifications: Experience in data science, experimentation, and strong communication skills.

The predicted salary is between 60000 - 80000 € 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 decision-making.

As a Data Scientist on the team, you’ll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence-driven decisions.

What You’ll 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 decision‑making across the Alliance.
  • Grow into a strategic analytical partner by taking on increasingly complex data challenges.
Who You Are
  • 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 large‑scale 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 cross‑functional partners.
  • You are curious, adaptable, and excited to grow your craft over time.
Where You’ll Be

This role is based in London or Stockholm. 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.

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.

Data Scientist II - Platform Mission employer: Dangote Industries Limited

Spotify is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for Data Scientists looking to make a meaningful impact. With flexible working arrangements in vibrant locations like London and Stockholm, employees benefit from a collaborative environment that encourages personal growth and the exploration of complex data challenges. The company prioritises employee development through strategic partnerships and offers opportunities to influence decision-making across diverse teams, ensuring that every voice is heard and valued.

Dangote Industries Limited

Contact Detail:

Dangote Industries Limited Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist II - Platform Mission

Tip Number 1

Network like a pro! Reach out to current or former employees at Spotify, especially those in the Platform team. A friendly chat can give you insider info and might even lead to a referral.

Tip Number 2

Show off your skills! Prepare a portfolio of your data science projects, especially those involving experimentation and visualisation. This will help you stand out during interviews and showcase your hands-on experience.

Tip Number 3

Practice makes perfect! Brush up on your SQL and Python skills, and be ready to tackle some technical questions or coding challenges. We all know that confidence in your abilities can make a huge difference.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Spotify family.

We think you need these skills to ace Data Scientist II - Platform Mission

Data Analysis
Statistical Techniques
Causal Inference
Experimentation
A/B Testing
Data Visualisation
Tableau

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist II role. Highlight your experience with experimentation, causal inference, and data visualisation tools like Tableau or Looker. We want to see how your skills align with what we’re looking for!

Showcase Your Data Skills:Don’t hold back on showcasing your programming prowess in Python or R, and your SQL skills. Include specific examples of projects where you’ve explored complex datasets and derived actionable insights. This is your chance to shine!

Craft a Compelling Narrative:When writing your cover letter, tell us a story about your journey in data science. How have you collaborated with cross-functional teams? What challenges have you overcome? We love hearing about your experiences and how they shaped your approach to data.

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. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!

How to prepare for a job interview at Dangote Industries Limited

Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals, especially around experimentation and causal inference. Be ready to discuss how you've applied these techniques in past projects, as this will show your depth of knowledge and practical experience.

Visualisation is Key

Since you'll need to communicate insights effectively, practice creating compelling data stories using tools like Tableau or Looker. Prepare a few examples of dashboards or visualisations you've created that had a real impact on decision-making.

Collaboration is Crucial

Be prepared to talk about your experience working with cross-functional teams, including engineers and product managers. Highlight specific instances where your collaboration led to successful outcomes, as this role requires strong teamwork skills.

Ask Insightful Questions

During the interview, don’t hesitate to ask questions that demonstrate your curiosity and understanding of the role. Inquire about the types of datasets you'll be working with or the challenges the SAFE Insights team is currently facing—this shows you're genuinely interested in contributing.