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Data Scientist / Advanced Analytics Lead at Spotify

Advanced Analytics is Spotify’s new data-driven intelligence unit. Leveraging our big and diverse data ecosystem, we combine cutting-edge science, design, and engineering to craft foundational insights and platforms that impact various dimensions of Spotify. We are looking for a Data Scientist to join our Research team.

What You’ll Do:

-You will apply your mathematical or scientific training to analyze large volumes of diverse data, model complex human-scale problems, and develop algorithms to serve various needs.

-You will work in collaboration with other mathematicians and scientists in Research and with data engineers and design technologists across Advanced Analytics to imagine and build creative solutions to challenging questions, most often with a clear line of sight from your work to real-world impact.

-You will work on projects that cut across various facets of Spotify (from Product to Marketing to Content)

-You will experiment with new analytical techniques and tools.

-You will work from our office in our New York

Who You Are:

-You have earned an advanced degree in mathematics, science, and/or computer science

-You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results. You are enthusiastic about learning new techniques and technologies.

-You have experience with a range of data science techniques including clustering, machine learning, and network analysis

-You have the technical competence (i.e. some combination of Python, Java, Scala, Pandas, R, SQL, Hadoop) to perform advanced analytics: Coding skills, experience performing analysis with large datasets, and analytics tools experience

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

CountryUSA
LabSpotify, NYC
Deadline01/01/2016 0:00
Linkhttps://www.spotify.com/us/jobs/view/ozDQ1fwN/

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