Data Scientist - Marketing

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

WHO ARE YOU?

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

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 Live Nation organization to share methods and outcomes.

THE ROLE

• 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 in order to support 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 documentations and effective presentations

WHAT THIS ROLE WILL DO

• 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 tool kits 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, Pig is desirable
• Education: MS/Ph.D. In CS, Math or Statistics
• Effective communication skills and enjoying work as part of a team
• Experience in experimental design, causal inference, and regression and classification models
• Previous experience in digital media and marketing 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, Free concert tickets
• WEALTH: 401(k) program with company match, Stock Program
• FAMILY: New parent programs & support including caregiver leave and baby bonuses, infertility support
• CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings
• OTHERS: Volunteer time off, crowdfunding network