Data Scientist
Job Summary
The Data Scientist is responsible for leading the analytics function to drive data-informed decisions across the organization. This role will leverage data to optimize content distribution, enhance audience engagement, and drive growth. The ideal candidate will have a deep understanding of the music industry, advanced analytical skills, and is effective in presenting data that is actionable for key stakeholders.
Essential Job functions
- Design, develop, and maintain statistical models and metrics that can be used across the label group to drive significant results.
- Analyze complex data findings into actionable insights and strategic recommendations for marketing campaigns, artist development, and business strategy.
- Discover, track, and analyze developing artists and songs using data-driven methods.
- Present findings and strategic recommendations to senior leadership and other relevant teams.
- Identify and track key performance indicators (KPIs) relevant to streaming and audience engagement.
- Develop and present actionable insights to inform strategic decisions regarding artist releases, marketing campaigns, and content strategies.
- Provide recommendations on playlist placements, promotional activities, and artist development based on data trends.
- Utilize advanced analytics tools and platforms (e.g., SQL, Python, R, Tableau) for data processing and visualization.
- Create detailed reports and interactive dashboards that communicate data insights to stakeholders.
- Conduct randomized controlled trials to evaluate the effectiveness of marketing strategies.
- Provide thought leadership on emerging trends and technologies in the analytics space, and help the organization stay ahead of the curve.
- Lead the development of data models, algorithms, and other analytical tools to support business decision-making.
- Collaborate with IT, Marketing, and label partners to ensure that analytics activities are integrated with other business processes.
Other duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Required experience
- At least 5-7 years of experience in data analytics and insights within the music industry, preferably using statistical modeling data analysis tools and techniques to drive significant change in an organization.
Required skills
- Strong ability to analyze complex data sets, identify trends, and generate actionable insights.
- Proficiency with data analysis tools (e.g., SQL, Python, R) and data visualization platforms (e.g., Tableau, Power BI).
- Understanding of the music industry, particularly in the context of streaming platforms and digital music consumption.
- Strong verbal and written communication skills.
- Very detail-oriented.
- Ability to thrive in a fast-paced, deadline-driven environment and manage multiple priorities effectively.
Education
- Bachelor’s Degree in Data Science, Business Analytics, Music Business, or a related field preferred. Master’s degree a plus, but not required.
Big Machine Label Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.