Job summary
Job post source
This job is directly from Sony Music Entertainment
Job overview
The Director of Data Science at Sony Music Entertainment leads efforts in machine learning and fraud detection to protect streaming content and support business decisions.
Responsibilities and impact
The role involves leading the global content protection program against streaming fraud, collaborating with partners and vendors, researching advanced technologies, developing predictive models, analyzing large datasets, and communicating insights to cross-functional teams and senior leadership.
Compensation and benefits
The position offers a comprehensive benefits package including medical, dental, vision, life and disability coverage, 401K with employer matching, voluntary benefits like identity theft protection and mental health resources, paid leave options, and various family and educational support programs.
Experience and skills
Candidates should have a B.S. in Computer Science, Mathematics, or related field (master’s preferred), 5+ years of experience in machine learning or data analysis, proven fraud detection expertise, knowledge of AI, proficiency in Python and Java, and strong analytical skills.
Career development
The role provides opportunities to work in a global, collaborative environment with access to developmental programs and resources supporting diverse needs.
Work environment and culture
Sony Music offers an inclusive, collaborative, and global community with a modern office environment and a commitment to equal employment opportunity and non-discrimination.
Company information
Sony Music Entertainment is a leading global music company focused on content protection, innovation in machine learning, and supporting creative and business teams worldwide.
Team overview
The candidate will join the Data Science & Analytics team, working cross-functionally with creative, business, legal, and engineering teams to support company objectives.
Job location and travel
The job is based in a modern office environment with a global scope, though specific location details are not provided.
Unique job features
The role is distinguished by its focus on combating streaming fraud using advanced machine learning, AI, and automated content recognition technologies within a major global music company.
Company overview
Sony Music Entertainment is a global leader in the music industry, known for its diverse roster of artists and extensive catalog of recorded music. The company generates revenue through music sales, streaming services, licensing deals, and live performances. Founded in 1929 as American Record Corporation, it became Columbia Records before being acquired by Sony in 1988. Sony Music has played a pivotal role in shaping the music landscape, representing iconic artists and continuously adapting to technological advancements in the industry.
How to land this job
Tailor your resume to highlight your expertise in machine learning, fraud detection, and anomaly detection, emphasizing your ability to develop and implement advanced strategies to combat streaming fraud at a global scale.
Showcase your experience leading cross-functional teams and collaborating with commercial partners, vendors, and industry organizations to implement best practices in content protection and intellectual property issues.
Apply through multiple channels such as Sony Music Entertainment's official careers page, LinkedIn, and relevant job boards to maximize your visibility and chances of landing the role.
Connect with professionals in Sony Music's Data Science & Analytics division on LinkedIn, using ice breakers like referencing recent anti-fraud initiatives by Sony Music or asking about the latest machine learning technologies they are exploring for content protection.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning,' 'fraud detection,' 'anomaly detection,' 'content protection,' and 'predictive modeling' to ensure it passes automated screening.
Utilize Jennie Johnson's Power Apply feature to automate applying through multiple platforms, tailor your resume for ATS, and identify key LinkedIn contacts to network with, allowing you to focus on preparing for interviews and refining your skills.
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