Data Scientist - Marketing

Position Overview

Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on!

The role is a part of the Marketing Technology team focusing on measuring and optimizing our Marketing platform across the Live Nation brands. You will work with our software engineers, product and business teams to turn data science systems into product solutions. Prior experience with exposure to acquiring users in Direct to Consumer Brands cross-consumer products is a plus. This role will include projects ranging from: Propensity models, Customer Profiling & Segmentation, Clustering, MMM, Incrementally, Attribution, A/B Testing and Design, ad hoc advanced analysis, etc. As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. You will leverage your skills and experience to apply industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. You will work with other data scientists across the organization to share methods and outcomes.

Key Responsibilities

• Be part of a dynamic, highly-focused team that is responsible for providing insights and products from behavior data that engage live entertainment fans
• Support the analysis of the value of various marketing channels to ensure appropriate allocation of resources
• Carry out rigorous model validation and model tuning/optimization as part of the natural model life-cycle
• Use unsupervised learning models and other advanced analytic techniques to produce and evaluate data-driven customer segmentations for various marketing purposes
• Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting and optimization to drive business growth
• Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production
• Innovate with new approaches, staying abreast of current research in the field and the broader machine-learning community
• Share your technical solutions and product ideas with the team through robust documentation and effective presentations

Required Qualifications

• 2+ years of development with a programming language like: Java, Python, R
• Strong machine learning background both on supervised and unsupervised algorithms
• Experience with state-of-the-art machine learning toolkits and algorithms (e.g., Vowpal Wabbit (VW); scikit-learn; Tensorflow)
• 2+ years of industry experience, or equivalent and pertinent course work
• Proficient in SQL and RDBMS's
• Experience with/knowledge of frameworks like Hadoop and Pig is desirable
• Education: MS/Ph.D. in Computer Science, Mathematics, or Statistics
• Effective communication skills and enjoyment of working as part of a team
• Experience in experimental design, causal inference, and regression and classification models
• Previous experience in digital media and marketing is a plus

Benefits & Perks

Our motto is ‘Taking Care of Our Own’ through 6 pillars of benefits:

• HEALTH: Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
• YOURSELF: Generous paid time off policy including paid holidays, sick time, and paid days off for your birthday, plus free concert tickets
• WEALTH: 401(k) program with company match and Stock Program
• FAMILY: New parent programs & support including caregiver leave and baby bonuses, plus infertility support
• CAREER: Tuition reimbursement, student loan repayment, and internal growth and development programs & trainings
• OTHERS: Volunteer time off and a crowdfunding network