Jobbet Data Scients to worlds biggest music streaming company har sparats.


Redo att ansöka?

Vänligen bekräfta din mailadress för att starta din ansökan.
För information om hur vi hanterar dina personuppgifter, se vår Sekretesspolicy.

Jobb sparad

Ange din e-postadress för att spara det här jobbet

Du sparar detta jobb som:


Data Scients to worlds biggest music streaming company publicerad av Academic Work



Our client seek to find scalable solutions that allow us to reach a product-market fit for all our growth markets and audience segments. At our client you will be given the opportunity to be a part of a fast-paced international organization. This organization is continuously moving, and we want you to join the ride!

Om tjänsten
OBS.This is an open application. Were the Markets Business Unit, a truly cross-functional team focused on finding future listeners, wherever and whoever they may be. We work collaboratively, combining marketing, insights, product development, design and engineering expertise to grow monthly active users in both new and existing markets across the globe.

The team built them by understanding the world of music and podcasts better than anyone else. Join us and youll keep millions of users listening by making great recommendations to each and every one of them.

Our client is proud to foster a workplace free from discrimination. They strongly believe that diversity of experience, perspectives, and background will lead to a better environment for all employees, and a better product for the users and creators

This is a consultant assignment. Academic Work will be your employer and you will work as a consultant at our clients company. The assignment will be full time and extend for six months. There are good opportunities to be extended on the assignment, given that all parties are satisfied with the cooperation.

Our client are currently working on enabling the localisation of the onboarding experiences and recommendations so that we meet local user expectations and we are starting similar efforts to optimise the Search and Home experiences

• Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience across platforms and partners
• Perform analyses on large sets of data to extract impactful insights on user behavior that will help drive product and design decisions
• Communicate insights and recommendations to external partners
• Be a key partner in our work to build out our ubiquity strategy so that we are relevant in the daily lives of consumers.
• Be part of building the next generation experience outside of our native applications.
• Work closely with external partners and be creative to understand how we can build, run experimentation and learn from new platforms and product experiences.


Vi söker dig som

• CV in English
• 3-8 years of relevant experience, with a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject
• Strong interpersonal skills and are comfortable working with multiple stakeholders
• Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights
• Coding skills (for example Python, Java or Scala)
• Analytics tools experience (such as Pandas, R, SPSS, SQL, or Hadoop)
• Statistical competence (such as regression modeling, A/B testing, statistical signifcance, causal inference methods, etc)
• You understand the value of collaboration within teams

Other information

• Start: Asap
• Work extent: Full time, long term
• Location: Central Stockholm
• This recruitment process is conducted by Academic Work. The request from our client is that all questions regarding the position is handled by
Academic Work
• Apply by pressing the Apply here button below. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the screening or interview phase.



Skriv in din e-postadress så skickar vi dig liknande jobb som detta.

Tack! Vi skickar jobb som liknar detta till