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Machine Learning Scientist
at Live Nation
MACHINE LEARNING SCIENTIST sought by Live Nation Worldwide, Inc. in Hollywood, CA.
Duties: Analyze user needs and oversee the development of software, using machine learning algorithms in Java and Python, to meet those needs. Design and implement machine learning algorithms ranging from data cleaning, feature selection, training classification and clustering models. Work with Vowpal Wabbit and MlLib libraries. Build distributed data pipelines that process >100M messages per day using Apache Storm, Kafka, HBase, Elasticsearch. Provide machine-learning insights, and help in the development of SW products that engage Ticketmaster's users. Organize the development of SW to prototype new algorithms for user identification and segmentation, performance optimization and user response prediction as part of a massively parallel and distributed near-real time predictive learning system. Turn algorithms produced by various more junior Data Scientists into full-fledged commercial-grade SW tools that will directly interact with, and affect the experience of millions of users, both domestically and internationally. Oversee the use of Lambda architecture to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. Provide expert knowledge on these platforms to junior colleagues.
Send Resumes to: John Burkle, Live Nation Worldwide, Inc., 7060 Hollywood Blvd., Hollywood, CA 90028.
Requirements: Master’s degree or foreign equivalent in Computer Science, Mathematics, Physics, or related field, plus to (2) years of experience as a Data Scientist, Data Scientist II, Software Developer, or related occupation. Must have experience in working with very large datasets in Amazon Ecosystem including, AWS EMR, AWS DynamoDB, AWS Kinesis, AWS S3, AWS EC2, AWS Lambda and AWS Athena; software development using high-level programming language, including: Java, C/C++, Python; unit testing frameworks, including JUnit or Mockito; applying machine learning solutions (including SVM, Clustering, Contextual Bandit, Deep Learning) to real-world problems; using Machine learning libraries (including Vowpal Wabbit, TensorFlow, or scikit-learn); and building stream processing systems using Apache Kafka.
Recognized three years in a row by Great Place to Work® and named one of People Magazine’s top 50 Companies that Care, Live Nation Entertainment is the global leader in live entertainment and ticketing. Our world-class portfolio reaches all aspects of the live event and ticketing industry, from ground-breaking software in Ticketmaster, mix of legendary venues and restaurants in House of Blues, production leaders in Concerts, exceptional brand partnerships in Media & Sponsorship, and unparalleled team of artist managers in Artist Nation supported by diverse professionals in all facets of Corporate operations.
We recognize that our most important assets are our employees, the rock stars who keep the live experience going. Generous vacation, healthcare, and retirement benefits are just some of the great perks we offer to support our global workforce of more than 38,000. For any stage in your career, our many unique benefit programs are designed to help you live life to the fullest. We offer student loan repayment to support recent grads, six months of paid caregiver leave to support new parents, perks like Roadie Babies (bring your little ones & a caretaker along with you on work trips) and Music @ Home (stipend to cultivate your little ones’ music interest), and tuition reimbursement to fuel your ongoing professional development. Plus, working for the world's largest live event and ticketing company means you'll have access to free concerts, festivals, sports games, and more through our exclusive employee ticket concierge.
There is no bigger stage for your career. See what your future looks like at Live Nation Entertainment.