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At Epidemic Sound we are reinventing the music industry. Our carefully curated catalog, with over 32,000 tracks, is tailored for storytellers, streaming services, and in-store soundtracks. Countless clients around the world, from broadcasters, production companies, DSPs, and YouTubers rely on our tracks to help them tell their stories. Epidemic Sound’s music is heard in hundreds of millions of online videos daily, across millions of playlist streams, and in thousands of in-store locations. Headquartered in Stockholm, we’re spread across offices in New York City, Los Angeles, Seoul, Hamburg, Amsterdam, and Sydney. We’re growing fast, have lots of fun, and are taking the music industry with us.

We are now looking for a Product Data Scientist. Actually. You can call yourself Data Analyst, Data Guru, Analytics Enthusiast or Easter Bunny if you like, the thing is: we have data and you are good at data.

How you will make an impact

Working closely with a product team, you will find and deliver actionable insights in our data to help our product grow. You will support the team, and our stakeholders in experiment strategy and A/B test design, ensuring that tests are impactful, insights are actionable and drive business value. You are comfortable working with exploratory analyses and driving your own research questions, aligned with the business strategy and growth opportunities. In this role, you will play a key role in building the research capabilities of a growing team. You will cooperate with analysts embedded in various teams/departments and make sure we have a holistic view of our business areas. Furthermore, you drive improvements in how we work with data, the tools we use and how we can improve our data assets to maximize productivity.

Who you are

You should be skilled in data analysis, visualization, communication, and parsing commercial opportunities from vast amounts of data using SQL, R, Python, pencils, recycled paper, and whiteboards. We also believe you have a passion for data, tech and music, love an entrepreneurial start-up vibe, and that you are strong in quantitative analysis, statistics, or mathematics. You are a fast learner with a collaborative disposition and have the ability to draw business insights to add real value to the business. You should have experience working closely with cross-functional product teams, and sharing insights from data to drive business impact.

Other skills we think you have:

- 1+ year of working experience in a similar data scientist role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline
- Fluency in Python or R for data analysis
- Experience performing analysis with large datasets
- Experience working closely with a cross-functional product team
- Excellent understanding of SQL
- Good understanding of cloud technologies. We use GCP
- Ability to demonstrate hands-on experience with data mining, clustering, segmentation, and machine learning
- Experience with experimentation and a/b testing
- Good understanding of data engineering practices and data modeling
- Fluency in English
- Merit to those with significant experience from a growing product-focused company

Curious about our music? Find our music on Spotify here → https://open.spotify.com/user/... (https://open.spotify.com/user/epidemicsound)

We have lots of fun soundtracking the world and our annual Spring Bash (https://www.instagram.com/p/BysR7R-BamB/?utm_source=ig_web_copy_link) is an event that captures this perfectly. Take a look at last years celebration!

Application

Do you want to be a part of our fantastic team? Please apply by clicking the link below.

We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.

Detta är en jobbannons med titeln "Product Data Scientist" hos företaget Epidemic Sound AB och publicerades på webbjobb.io den 12 januari 2021 klockan 17:11.

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