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For Companies At a Glance
- Tasks: Join us to explore learning opportunities at Spotify and drive impactful data-informed decisions.
- Company: Spotify is a leading music streaming platform, innovating in the learning space.
- Benefits: Enjoy a fast-paced environment, remote work options, and the chance to wear multiple hats.
- Why this job: Be part of a 0 to 1 project that shapes Spotify's growth and user experience.
- Qualifications: Experience in data science, strong analytical skills, and proficiency in Python and SQL required.
- Other info: Work closely with cross-functional teams in a collaborative and innovative culture.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for an entrepreneurial and business minded senior data scientist to join the band to help explore and execute on learning as a new opportunity for Spotify. It is a phenomenal role for someone who wants to work on a truly 0 to 1 project and have an impact on the company’s growth trajectory!
As a data scientist in this team you’d partner with the full cross-functional team to help with research, data modeling and data-informed decision making related to building the product and driving impact for users, creators and the business. This is a fantastic opportunity to join our fast-paced team where you’ll get the chance to wear multiple hats and contribute to the product research and business analytics efforts to help craft and execute the product roadmap.
What You Are
- Help build out the insights foundations that will allow us to gather conclusive evidence on the trajectory and viability of learning as an opportunity for Spotify. This includes instrumentation all the way through to analysis as well as understanding the learning space from multiple angles such as user, UX, content, marketing, creator and business perspectives to help inform decision making.
- Develop business intelligence-, growth model- and product metrics framework.
- Perform analysis on large sets of internal data to extract practical insights that will help drive product, platform and business decisions.
- Design and conduct A/B tests to generate insights and drive impact across the entire learning product.
- Build dashboards, data pipelines, and recurring reporting results, empowering business and product decision making
- Develop models which power on- and off-platform promotion of learning based content
- Help develop interest graph and content demand models for the content powering ML recommendations for users
- Communicate data-driven insights and recommendations to key partners
- Work closely and embedded with cross-functional team including engineering, product, design and business decision makers
Where You’ll Do
- You believe that Spotify can truly create an impact in the learning space and have a point of view on that.
- You care end to end about the product, the implementation, the design, the creators, the business, and you are ready to wear multiple hats to achieve your goals.
- You have experience in a data science role in a related field and expertise in science, computer science, statistics, economics, mathematics, or similar quantitative subject area.
- You have experience with business intelligence, product analytics and complex data-driven decision making.
- You have broad experience performing analysis with large datasets and strong understanding of experimentation, statistics and machine learning for decision making.
- You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis.
- You take pride in your ability to identify and solve complex, unfamiliar problems, and present them to the rest of the team.
- You have a growth mindset, are curious and not afraid to be experimental. You share your ideas and continuously improve yourself and the team around you.
- You have excellent skills across the data science stack including Python, SQL and visualization tools (we primarily use Jupyter notebooks, BigQuery and Tableau)
Where You’ll Be
- The team is distributed across the CET region with most people located in Stockholm and London.
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Senior Data Scientist, Learning employer: Karkidi
Contact Detail:
Karkidi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Learning
✨Tip Number 1
Familiarize yourself with Spotify's current learning initiatives and how they align with their overall business strategy. This will help you articulate your vision for the role and demonstrate your understanding of the company's goals during discussions.
✨Tip Number 2
Showcase your experience with A/B testing and data analysis by preparing case studies or examples from your previous work. Be ready to discuss how your insights led to impactful decisions, as this aligns closely with the responsibilities of the role.
✨Tip Number 3
Network with current or former employees in similar roles at Spotify. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 4
Prepare to discuss your approach to cross-functional collaboration. Since the role involves working closely with various teams, highlighting your ability to communicate data-driven insights effectively will set you apart from other candidates.
We think you need these skills to ace Senior Data Scientist, Learning
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications. Highlight your experience in data science, business intelligence, and your ability to work cross-functionally.
Tailor Your CV: Customize your CV to reflect your relevant experience and skills that align with the job requirements. Emphasize your expertise in Python, SQL, and data visualization tools, as well as any experience with A/B testing and large datasets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the learning space and how you can contribute to Spotify's growth. Use specific examples from your past work to demonstrate your problem-solving skills and data-driven decision-making.
Highlight Your Collaborative Experience: Since the role involves working closely with cross-functional teams, be sure to mention any previous experiences where you collaborated with engineering, product, design, or business teams. This will show your ability to communicate insights effectively and work in a team-oriented environment.
How to prepare for a job interview at Karkidi
✨Show Your Entrepreneurial Spirit
Since the role is focused on exploring new opportunities for Spotify, demonstrate your entrepreneurial mindset. Share examples of past projects where you took initiative and drove results, especially in ambiguous situations.
✨Highlight Cross-Functional Collaboration
Emphasize your experience working with diverse teams. Discuss how you've partnered with engineering, product, design, and business stakeholders to achieve common goals, showcasing your ability to communicate data-driven insights effectively.
✨Demonstrate Your Analytical Skills
Prepare to discuss specific instances where you've performed analysis on large datasets. Be ready to explain your approach to data modeling, A/B testing, and how your insights influenced product decisions.
✨Express Your Passion for Learning
Convey your enthusiasm for the learning space and how you envision Spotify's impact in this area. Share your thoughts on current trends in learning and how data science can drive innovation in this field.
