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Data Scientist - Music
Company | Spotify |
Address | United States |
Employment type | FULL_TIME |
Salary | |
Category | Musicians |
Expires | 2023-09-28 |
Posted at | 8 months ago |
The Music team builds Spotify's content platform and creator products. Our content platform ingests, understands, and safeguards the world's audio. Our creator products - Spotify for Artists, Canvas, Discovery Mode, and Marquee - enable artists and their teams to connect with collaborators and grow & monetize their audience.
- Partner closely with other data scientists to inform, build and test hypotheses that deliver actionable insights to improve and expand our products.
- Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully.
- Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
- Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop the next generation of promotion tools for artists.
- Define the metrics and dashboards we use to measure the health and success of our products.
- Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.
- You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
- Experience working with Machine Learning teams.
- You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.
- You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
- Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
- Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
- You have experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
- 3+ years of demonstrated ability in a similar data scientist role.
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours?We operate within the Eastern Standard time zone for collaboration and ask that our teammates are comfortable working within the hours of that time zone.
- Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
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