Vevo is the world's leading music video network, connecting an ever-growing global audience to high quality music video content for more than a decade. Founded by Universal Music Group and Sony Music Entertainment in 2009, Vevo offers fans worldwide a vast array of premium content to choose from, showcasing official music videos alongside a constantly developing lineup of live performances and innovative original programming. From top superstars to rising new talents, Vevo brings incomparable cross-promotional support to artists across the musical spectrum, at every stage of their careers.

Vevo has consistently evolved over the past decade to lead within today's ever-changing media landscape, embracing partnerships with a number of leading distribution platforms to deliver extraordinary content within ad-supported environments. With more than 26B views across television, desktop and mobile devices each month, Vevo brings music videos to the world – when, where, and how fans want them.  

Vevo is available on YouTube, Samsung, Samsung TV Plus, Amazon Fire TV, Amazon Echo Show, PlutoTV, Apple TV, Roku, Comcast (Xfinity X1 and Xfinity Flex), VIZIO, Sky (NowTV and SkyQ), Foxxum, XITE, NetRange, Redbox, T-Mobile Play, Virgin Media, Xumo, Telstra and Vewd.

The Data Science team’s mission is to harness the power of Vevo’s data to provide better experiences for Vevo’s end users, advertisers, artist & label partners, along with deep insights for internal business groups. 

 

This team is also the champion of experimentation and the scientific method, helping to bring data science methodologies to an ever-growing number of business domains.

If this job description is not a perfect match, but you are passionate and skilled about data science and music video, you are encouraged to apply.  Qualified candidates with non traditional backgrounds will be considered if they are a good fit.

This is a full-time position and is a remote role.

As a member of our team, you will

• Work as part of a team member of one or more ‘squads’ focused on tackling some of Vevo’s most important challenges
• Be given a huge potential to innovate in a green-field space: music video offers a unique opportunity for experimentation at scale, building on learnings gleaned from both the music and video verticals
• Have a big impact on decisions across all areas of Vevo’s business, including content development, marketing & promotion, advertising and monetization
• Become a trusted advisor to our senior leadership team, and help grow Vevo’s industry profile through targeted public speaking opportunities

This describes you

• You have a successful track record deploying data science frameworks and approaches in ‘greenfield’ environments, working with a range of stakeholders
• Proven experience with a variety of ML packages and technologies in python, such Deep Learning (TensorFlow, PyTorch, GANs, RNNs, CNNs), NLP (HuggingFace), Decision Trees (RF, XGBoost),  and SciKitLearn packages, for both supervised and unsupervised tasks.
• A comprehensive understanding of the advantages, disadvantages, and limitations of the most common ML algorithms, with strong knowledge base and intuition for the best choice for a given application.
• You’re not shy about handling your data needs and have a solid grasp of SQL and distributed data ETL processes (preferably in Scala / Spark) such as MapReduce, filters, aggregations and joins.
• You have a solid grasp of statistics and how it enables data scientists to solve business problems
• You thrive on working in an agile team environment
• You enjoy music and internet video and possess a deep curiosity for creating music entertainment experiences as well as harnessing the power of data to unlock growth opportunities on global distribution platforms such as YouTube
• Passionate about making a business impact

Requirements

• At least 2 years of experience working as a data scientist
• Excellent written and verbal communication skills, with a successful track record of collaboration and influence within a fast-paced environment
• Passion for data science advocacy and education

Interested? Great! You might like to know

• We are a fun, energetic tight-knit team with a passion for music and technology
• In office/external happy hours
• Remain up to date with new technology including hosting/attending meetups
• Excellent benefits package
• Competitive compensation packages
• Premier access to music content and new releases of original media content
• Concert ticket giveaways
• 401k Match

This is a full-time position based on-site/in the office (unless otherwise noted in the job posting that this role is fully remote). Vevo will operate in a hybrid work model and will require employees to be in office 2-3 days a week, on average.

Vevo considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, age, disability, genetic information, veteran status, or any other legally protected status under local, state, or federal law.