Lead Data Scientist, Live Nation
Entertainment events promoter and producer
Posted today
Entertainment events promoter and producer
1001+ employees
Posted today
1001+ employees
Company mission
Live Nation's mission is to help live music fans more easily and quickly find concert tickets and information about their favourite artists and venues.
Role
Who you are
- Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or similar technical field/experience
- Hands-on data science expertise with code-based model development e.g. R, Python
- Strong knowledge of deploying end-to-end machine learning models in Databricks utilizing Pyspark, MLflow and workflows
- Strong knowledge of data platforms and tools, including Hadoop, Spark, SQL, and NoSQL databases
- Communicate algorithmic solutions in a clear, understandable way. Leverage data visualization techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data
- Knowledge working with structured and unstructured data formats
- Experience designing and implementing data pipelines and ETL processes is a plus
- Good knowledge of ML ops principles and best practices to deploy, monitor and maintain machine learning models in production
- Familiarity with Git and MLflow for managing and tracking model versions
- Experience with Kafka is a big bonus
- Experience with cloud-based data platforms such as AWS or Google Cloud Platform
- Proven track record of running large scale mission critical data infrastructure in production
- Experience with container technologies (such as Docker) and orchestration technologies (such as Kubernetes)
- Experience working in ecommerce or retail industries is a plus
- An understanding of security measures related to ML models ensuring adherence to data privacy regulations
- Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data infrastructure issues
- Proficient collaborating with business stakeholders, data engineers, and data scientists to understand their requirements to implement of machine learning models
- A deep product focused mindset, with a desire to understand your customers and what will make their use of your output easier and more efficient
- Curious by nature, enjoy looking into problems around your core tasks, experimenting with potential solutions
- Passionate about machine learning and be able to convey a thorough understanding of how data science can support better decision making
What the job involves
- You will be joining a new Data Engineering and Data Science team to help get the most value out of our real-time data streams with a focus on ensuring genuine fans have the best opportunity to buy tickets
- We are seeking a highly skilled Lead Data Scientist to join our team and play a critical hands on role in developing our data infrastructure and end-to-end deployment of machine learning insights.
- The ideal candidate will have a deep understanding of data science platforms and tools, as well as experience designing and implementing machine learning pipelines
- Design, implement, and maintain machine learning pipelines in Databricks and AWS that enable real-time data-driven decision-making
- Work closely with the Director of Data Science and cross-functional teams to identify data requirements, define data and ML models, and develop scalable solutions to support our growing data needs
- Build, maintain and monitor data products that ensure data quality, accuracy, and availability
- Continuously monitor and evaluate data infrastructure performance, and identify opportunities for improvement and optimization
- Ensure compliance with data security and privacy policies, and implement appropriate access controls and data governance frameworks
- Oversee data scientist, and senior data scientist project execution providing senior mentoring, leadership, and guidance
- Lead the execution and planning of large data science projects, including quality and best practices
- Collaborate with stakeholders to understand organizational objectives and translate them into data-driven solutions
- Contribute to the ongoing day to day running of the Data Science team, including learning pathways, best practices, and innovation
Salary benchmarks
Our take
Live Nation is the world's leading live entertainment company, sitting at the top of the market in live events and ticketing. Formed in 2009, it is a major international company, with key business segments made up of concerts, ticketing, and sponsorship and advertising.
Despite its dominant position in the market, the company saw an 84% drop in revenue during 2020 and the closure of live events. Since then, however, demand has been stronger than ever for their ticket sales. This is a reflection that live events remain a clear priority for consumers and has been further reflected in Live Nation's acquisitions of companies - like Goodlive - that complement and bolster Live Nation's portfolio.
In addition to live events, a key area to watch for Live Nation will be the rise of online concert streaming, like that undertaken by competitors such as Driift. Major festivals such as Glastonbury have trialled online concerts with mixed reviews. If it proves successful, this could be a major new section of the entertainment market and a big potential part of Live Nation's future ventures.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Company benefits
- Unlimited paid time off policy
- Work from home opportunities
Company HQ
Barbican, London, UK
Leadership
Michael Rapino
(President and CEO, not founder)They worked for 10 years in various marketing and entertainment capacities at Labatt’s Breweries of Canada. They held several roles at Clear Channel Communications, including President and CEO of Global Music. They were named CEO and President of Live Nation in 2005.
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