Search for Data Scientist roles in New York, within the music or entertainment industry, requiring 3-5 years of experience, with a salary range of $150,000 to $160,000, and proficiency in Python.

Okay, I've searched for Data Scientist roles in New York within the music and entertainment industry, requiring 3-5 years of experience, with a salary range of $150,000 to$ 160,000, and proficiency in Python. I have found 22 positions for you.

Data Scientist

New York, NY

Entertainment

3-5 years of Experience

$150000+

$160000-

Python

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Data Scientist at Warner Music Group (WMG) is fundamentally about leveraging data to provide insights that drive business decisions within a dynamic and creative industry. This position requires leading data science projects that analyze subscriber consumption, revenue forecasts, and global trends, harnessing advanced statistical modeling techniques and programming skills. The successful candidate will navigate interactions across multiple departments, emphasizing collaboration and effective communication to present complex analysis to diverse stakeholders. Anticipated challenges include distilling vast datasets into actionable insights and addressing ambiguities prevalent in a rapidly evolving music industry landscape. Candidates should be prepared to demonstrate not just technical prowess, but also their creativity in approaching business problems, and how they can influence strategic choices by harnessing data effectively. Success in this role is likely measured by the ability to deliver impactful data-driven recommendations that enhance the company's operations within the first 6-12 months, positioning WMG favorably in a competitive market.

Company Analysis:

Warner Music Group (WMG) operates at the intersection of music and technology, positioning itself as a global leader in the music industry while retaining a dynamic, innovative spirit akin to that of independent labels. This duality reflects in their commitment to creativity, collaboration, and curiosity—values that emphasize the importance of teamwork and cultural engagement, crucial for a Data Scientist tasked with interpreting market trends. The company fosters an inclusive environment, encouraging diversity of thought and background, which could be highly beneficial in generating novel insights from data analysis. The Business Intelligence team, where this role is situated, is pivotal in informing WMG’s strategic direction, indicating that the Data Scientist will enjoy significant visibility and influence within the company. In this growth-focused environment, the role is not just about data analysis; it is about contributing to the creative landscape of the music business and collaborating with artists and internal teams to drive success. As such, candidates must align with WMG's mission to bridge artistic expression with data-driven decision-making.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to lead a data science project with minimal supervision. What were the challenges, and how did you overcome them?
Describe a situation where your insights directly influenced a business decision. What was the outcome?
Can you share an experience where you had to explain complex data analysis to non-technical stakeholders? How did you ensure they understood?
What strategies do you employ when you encounter ambiguous data in your analysis? Can you provide a specific example?
How would you approach forecasting subscriber consumption for a new artist based on existing data? What factors would you consider?
Explain how you would utilize machine learning frameworks to address a business challenge within WMG.
Describe your experience with SQL and how you have used it to work with large datasets in past projects.
Imagine you are tasked with analyzing user behavior for a new music streaming service. How would you structure your analysis?
Given the need to promote collaboration, how would you engage with other teams at WMG to gather necessary data insights?
What attracts you to Warner Music Group, and how do your personal values align with our core principles?
How do you keep yourself updated with the latest trends in the music industry, and how would that knowledge apply to your role here?
If you had the opportunity to experiment with a new data visualization tool, what would it be and why?
What do you see as the greatest challenge in data science within the music industry today?
If you were to join WMG, what would be your immediate goals in the first few months to drive impact within the BI team?

Job Details

Overview Company

Data Scientist

$150k/y-$160k/y

Lensa

a day ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

Warner Music Group is seeking a Data Scientist to join their team in New York, NY. The role involves leading data science projects to provide actionable insights and influence decision-making within a global music company.

About the Role

As a Data Scientist, you will lead data science projects from inception to completion on topics such as subscriber consumption and revenue forecasts, digital advertising forecasts, and global trends analysis. You will apply advanced data analysis and statistical modeling techniques to address complex business challenges, develop and maintain production-level models, and work closely with various departments to understand business needs and provide actionable insights. You will also identify areas where data science can add value and promote a culture of continuous learning within the team.

About You

Required:

Bachelor’s, Master’s, or PhD in Economics, Econometrics, Statistics, Data Science, Applied Mathematics, or a related field.
3-5 years of full-time post-graduation experience applying econometric and statistical methods in a business setting, preferably within the music, entertainment, or digital media industry.
Proven experience working with and analyzing macroeconomic and industry-level data from globally-trusted third-party sources.
Demonstrated ability to independently lead and execute data science projects that require rigorous statistical and econometric analysis.
Proficiency in programming languages such as Python or R for data analysis and model development.
Experience with machine learning frameworks and statistical tools.
Strong understanding of SQL and working with large datasets.
Familiarity with data visualization tools like Tableau or Power BI.
Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.

Preferred:

Familiarity with the streaming music landscape or other digital media.
Experience building analytical products and dashboards within BI software like Tableau or other environments like Streamlit.

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New York, NY