Data Engineer

Job Description

Live Nation Entertainment is the world's leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world's top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world's top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors.

THE TEAM

The role is a part of the Corporate Information Security and Privacy (CISP) Technology team focusing on measuring and optimizing our CISP platform across the Live Nation brands.

You'll be apart of a dynamic, highly-focused team that is responsible for providing insights and products from behavior data that protect live entertainment fans and Live Nation Entertainment systems from cyber attacks. You will work with our software engineers, product and business teams to create, manage and turn data science systems into product solutions.

THE ROLE

As a Data Engineer, you will work with a team of Data Scientists and Developers to understand analytics methods and the output from algorithms for identifying trends and providing business solutions.

You will leverage your skills and experience to apply industry-leading analytical methodologies to work with large datasets to extract meaningful business insight and creatively solve business problems that may include projects ranging from understanding data, using data for strategic decisions, policies, controls and frameworks, A/B Testing and ad hoc advanced analysis, etc.

The Data Engineer will also be responsible for ensuring that developed codes are effective against the desired outcome and that the SDLC is carried out effectively. You will work with other Data Scientists, Data Engineers, and Developers across the Live Nation organization to share methods and outcomes.

WHAT THIS ROLE WILL DO
• Create analysis of various information security teams' data and strategic pushes in order to support appropriate protection against our systems.
• Provide clean data sets to aid with rigorous model validation and model tuning/optimization as part of the natural model life-cycle for multiple initiatives.
• Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting and optimization to produce desired impact.
• Participate with the data scientist, product and development team to manage 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.
• Share your technical solutions and product ideas with the team through robust documentations and effective presentations.
• Responsible for mapping and collect data throughout the organization
• Create, test, and modify ETLs to fit business purposes
• Document experience with Data Modeling, Data Mining, and Data Segmentation for future use and explanation to the larger CISP organization.

WHAT THIS PERSON WILL BRING
• Education: B.S.Degree in Analytics, Mathematics, Computer Science, Engineering etc. required, Advanced degree preferred
• 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, past data engineer, IT engineer and cyber security is required
• • Prior experience with exposure to implementing, managing and developing solutions for SIEMs, FIM and logging issues for consumer brands is a plus.
• 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 information security, privacy or other highly regulated industry 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, Free concert tickets
• WEALTH: 401(k) program with company match, Stock Program
• FAMILY: New parent programs & support including caregiver leave and childcare cash, infertility support
• CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings
• OTHERS: Volunteer time off, crowdfunding network

Live Nation's policy regarding vaccinations and masking will evolve based upon updated regulations and factors related to COVID-19. Currently, we strongly encourage employees to be fully vaccinated or have received a negative COVID test within [24] hours of entering an office.

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Jobcode: Reference SBJ-rjj171-3-129-211-87-42 in your application.