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- Tasks: Lead a team of data scientists to combat fraud and enhance revenue protection strategies.
- Company: Join Spotify, the world's leading audio streaming service, passionate about music and creativity.
- Benefits: Enjoy flexible working options, a collaborative environment, and opportunities for personal growth.
- Why this job: Make a real impact in a fast-paced role while developing your leadership skills.
- Qualifications: 5+ years in data science with a focus on fraud prevention; strong leadership and technical skills required.
- Other info: This is a 13-month fixed-term contract based in London with remote work flexibility.
The predicted salary is between 48000 - 72000 £ per year.
Are you a strategic thinker with a passion for combating fraud and misuse at scale? Spotify is seeking an interim Lead Data Scientist to step into a critical leadership role on our Revenue Protection Data Science team during a parental leave cover. In this role, you will lead a team of data scientists focused on identifying and addressing sophisticated threats to our business, helping to craft and drive our Revenue Protection strategy.
You’ll work closely with cross-functional partners to ensure our detection systems evolve with emerging threats, and contribute directly to the resilience of Spotify’s global revenue ecosystem. We are all passionate about what we do and move forward with high impact projects at a high pace. Learning and improving is part of our daily routine, and you will be free to develop your skills and ways of working. Our collaborative environment encourages innovation and continuous improvement, making it an exciting place to grow your career.
What You\’ll Do
- Lead and support a distributed team of data scientists, guiding their day-to-day work, setting priorities, and encouraging a collaborative, high-performing team culture.
- Balance leadership and people management responsibilities with individual contribution. As part of a small, focused team, you’ll remain hands-on in delivering analyses and driving core initiatives.
- Apply your domain knowledge in payments and fraud to inform detection strategies and partner with stakeholders to evolve Spotify’s fraud & misuse mitigation approaches.
- Leverage your deep expertise in machine learning to inform model development, evaluation, and performance monitoring.
- Monitor and communicate key performance indicators to track the impact of Revenue Protection initiatives and surface emerging risks and opportunities to business partners.
- Translate data into strategy by assessing the business impact of new initiatives and threats, ensuring the team’s work is aligned with high-impact opportunities.
- Influence and partner cross-functionally, collaborating closely with Engineering, Product, and Business stakeholders to implement solutions and drive improvements.
- Communicate clearly and effectively, presenting data-driven insights and recommendations to technical and non-technical audiences, including leadership.
Who You Are
- 5+ years of experience in data science, including experience in the fraud prevention domain.
- A degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or another quantitative field.
- Proven leadership experience, either as a people manager or mentor, inspiring others and shaping project direction.
- Hands-on expertise with machine learning, including applying ML to real-world fraud prevention or misuse detection problems.
- Proficient in Python and SQL. Experience with Google BigQuery is a plus.
- Familiarity with dashboarding and data visualisation tools such as Looker, Tableau, or similar.
- A strong problem-solver who thrives at the intersection of business and data, with the ability to think strategically and act tactically.
- Comfortable with ambiguity and able to take initiative. Capable of owning loosely defined problems and turning them into concrete, impactful solutions.
- A thoughtful communicator who builds trust and alignment across functions, and who values collaboration in a fast-paced environment.
- Someone looking to step into a leadership role or grow as a leader. Whether you’re a Senior Data Scientist ready to gain formal people management experience, or a current Lead who’s eager to stay hands-on while driving impact in a new team.
Where You\’ll Be
- This role is based in London.
- 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.
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.
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Lead Data Scientist, Commerce Revenue Protection (13 month Fixed Term Contract) employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Commerce Revenue Protection (13 month Fixed Term Contract)
✨Tip Number 1
Familiarise yourself with Spotify's current Revenue Protection strategies and any recent initiatives they've undertaken. This will not only help you understand their approach but also allow you to discuss how your experience aligns with their needs during interviews.
✨Tip Number 2
Network with current or former employees in similar roles at Spotify. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Showcase your leadership skills by preparing examples of how you've successfully led teams or projects in the past. Be ready to discuss how you foster collaboration and drive high performance, as these are key aspects of the role.
✨Tip Number 4
Stay updated on the latest trends in fraud prevention and machine learning. Being able to discuss recent developments or case studies in these areas will demonstrate your passion and expertise, making you a more attractive candidate.
We think you need these skills to ace Lead Data Scientist, Commerce Revenue Protection (13 month Fixed Term Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in fraud prevention. Emphasise your leadership skills and any hands-on projects that demonstrate your ability to apply machine learning in real-world scenarios.
Craft a Compelling Cover Letter: In your cover letter, express your passion for combating fraud and misuse. Discuss how your strategic thinking aligns with Spotify's mission and how you can contribute to their Revenue Protection strategy.
Showcase Your Technical Skills: Clearly outline your proficiency in Python, SQL, and any experience with Google BigQuery or data visualisation tools. Provide examples of how you've used these skills in previous roles to solve complex problems.
Prepare for the Interview: Be ready to discuss your leadership style and how you foster collaboration within a team. Prepare to share specific examples of how you've influenced cross-functional partnerships and communicated data-driven insights effectively.
How to prepare for a job interview at Spotify
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your leadership abilities. Prepare examples of how you've successfully managed teams or mentored colleagues in the past. Highlight your approach to fostering collaboration and driving high performance within a team.
✨Demonstrate Domain Knowledge
Given the focus on fraud prevention, be ready to discuss your experience in this area. Prepare to explain specific strategies you've implemented in the past to combat fraud and misuse, and how your expertise in machine learning has contributed to these efforts.
✨Communicate Clearly and Effectively
You'll need to present data-driven insights to both technical and non-technical audiences. Practice explaining complex concepts in simple terms, and prepare to discuss how you've effectively communicated findings and recommendations in previous roles.
✨Prepare for Cross-Functional Collaboration
This role requires working closely with various stakeholders. Think of examples where you've successfully collaborated with engineering, product, or business teams. Be ready to discuss how you can bridge the gap between data science and other functions to drive impactful solutions.
