About Sony Music Entertainment

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music Entertainment (SME) is seeking a Director to join the Data Science & Analytics team. As a member of this team, you will provide business-focused machine learning and experimentation tools and services to our teammates throughout Sony Music. In this role, you will be at the forefront of SME’s efforts to combat streaming fraud. You will develop and implement advanced strategies to detect and prevent fraudulent activities, leveraging your expertise in machine learning and anomaly detection. We are looking for a candidate who is passionate about music and technology and has a strong background in data science.

What you'll do:

• Lead and develop SME’s global content protection program to prevent streaming fraud.
• Coordinate with commercial partners, vendors, and industry bodies to implement best practice solutions for tackling fraud and intellectual property-related issues.
• Evaluate and research technologies incorporating machine learning, artificial intelligence, and automated content recognition.
• Research and develop predictive models, statistical methods, and machine learning algorithms to solve business problems.
• Prepare and analyze large datasets to identify patterns, trends, and insights to inform business decisions.
• Communicate effectively with cross-functional teams, including creative, business, legal, and engineering-focused teammates, to support business objectives.
• Deliver actionable insights to stakeholders and senior leadership to support decision-making processes.

Who you are:

• Must possess B.S. in Computer Science, Mathematics, or related field. A master’s degree is preferred.
• Minimum of 5+ years of experience working in machine learning, data analysis, or a related field.
• Proven experience in fraud detection.
• Knowledgeable about artificial intelligence.
• Proficiency in modern programming languages such as Python and Java.
• Possess strong analytical and problem-solving skills.
• Maintain a positive outlook and eagerness to tackle complex challenges

What we give you:

• You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day  
• A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best 
• An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching 
• Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans 
• Investment in your professional growth and development enabling you to thrive in our vibrant community.  
• The space to accelerate progress, positively disrupt, and create what happens next  
• Time off for a winter recess

Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law.