Job summary
Job post source
This job is from a recruiting firm hiring for a separate company, Spotify, as indicated by the company name Jobright.ai and the description focusing on Spotify's team.
Job overview
The Data Scientist - Music Partnerships (Entry Level) role involves analyzing music data to support Spotify's interactions with artists, managers, and labels, driving decisions in the music domain.
Responsibilities and impact
The candidate will perform data analyses on large datasets, engineer new datasets and features, communicate insights through visualizations and presentations, evaluate Spotify's value exchange with music partners, and model statistical predictions to inform resource allocation.
Experience and skills
Required qualifications include a degree in a quantitative field, 2+ years of experience with SQL, Python, or R, passion for music, strong communication skills, and experience with data visualization tools like Tableau. Preferred qualifications include music industry experience, knowledge of modeling and statistics, AI curiosity, and familiarity with BigQuery or DBT.
Company information
Spotify is a leading commercial music streaming service offering digital content from various record labels and artists.
Team overview
The role is within Spotify's Music Partnerships team, focusing on analytics to support music industry relationships.
Unique job features
The job offers unique opportunities to work with music data, build innovative analytics, and influence strategic decisions in a major music streaming company.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Position your resume to highlight your quantitative background and proficiency with SQL, Python, and R, emphasizing your ability to analyze complex data sets relevant to music performance and trends.
Focus on showcasing your experience with data visualization tools like Tableau and your skill in communicating insights to non-technical audiences through clear storytelling and impactful presentations.
Apply through multiple channels including Jobright.ai’s corporate career site, LinkedIn, and any other job boards listing this role to maximize your chances of visibility.
Connect with current employees or team members in the Music Partnerships division at Jobright.ai on LinkedIn; start conversations by referencing recent Spotify music analytics projects or expressing genuine interest in how data drives music industry decisions.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data analysis,' 'music partnerships,' 'data visualization,' 'statistical modeling,' and 'Python,' ensuring your resume passes automated screenings.
Utilize Jennie Johnson’s Power Apply feature to automate tailored applications, find relevant job portals, and identify LinkedIn connections, allowing you to focus your efforts on networking and interview preparation.
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