Data Scientist
Spotify
Employer Active
Posted 1 hr ago
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Experience
2 - 7 Years
Job Location
Education
Bachelor of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.
The Business Analytics team is part of Spotify s core business strategy organization. You ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.
At your fingertips, you ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!
What You'll Do
- Develop data driven strategies to drive the growth of Spotify users and subscribers
- Identify new user growth levers in the SAMEA region and use experimentation to help drive that growth
- Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization
- Build scalable data pipelines and dashboards to facilitate business performance tracking
- Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth
- Design and implement comprehensive tests, making sure that we track all relevant metrics and that we re learning at every step along the way
- Present your findings to senior collaborators, influencing the course of our business
Who You Are
- You have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL
- Experience with distributed systems and cloud data platforms (BigQuery or GCP) is a plus
- Experience with AI tools (LLMs and coding assistants) is a plus
- Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data
- Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations
- Have a background in Economics, Computer Science, Statistics, Engineering or a relevant field
- Comfortable working on a globally distributed team (with occasional international travel)
- Relevant experience in a consumer tech/product company is a plus
Where You'll Be
- This role will be based at Spotify s office in Dubai
- 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
Desired Candidate Profile
You have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL
Experience with distributed systems and cloud data platforms (BigQuery or GCP) is a plus
Experience with AI tools (LLMs and coding assistants) is a plus
Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data
Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations
Have a background in Economics, Computer Science, Statistics, Engineering or a relevant field
Comfortable working on a globally distributed team (with occasional international travel)
Relevant experience in a consumer tech/product company is a plus
Company Industry
Department / Functional Area
Keywords
- Data Scientist
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Spotify
The Business Analytics team is part of Spotify s core business strategy organization. You ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe. At your fingertips, you ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!
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