Data Scientist Performance Marketing Analytics

Key Skills

A/B Testing, Design of Experiment, Java Programming, Python Programming, R Programming, SQL, Statistics

Job Description

Do you want to be part of building a platform where creators can collaborate on music and storytelling projects, and where educators can build learning opportunities? Soundtrap is the world’s leading browser-based Digital Audio Workstation, which we call “The Studio.

Location: London or Remote EMEA

Job type: Permanent

Acquired by Spotify in 2017, we provide a collaborative music and podcast recording studio on the web. As an engineer in the Data Platform Team, you'll be working at the heart of the Data architecture that enables Soundtrap's innovative “Studio” product.

You will be primarily focused on building the data pipeline, data lake, and tooling that our Data Scientists use every day to support Business stakeholders with all insights which will help define and drive future strategies for Soundtrap. In particular, we want to hear from you if you have experience in building high-quality, scalable data platforms.

We value people who are flexible and passionate about what they do. While experience in the technologies we use at Soundtrap is an advantage, if you're an enthusiastic learner and love our product as much as we do, we want to hear from you! 

What you'll do:

• Be a valued member of an autonomous, multi-functional agile team 
• Implement and be responsible for features across the stack in the world’s leading browser-based audio creation studio 
• Work across a broad problem space. The team’s work can stretch from investigating an issue in an existing dataset, contributing to designing a new data pipeline for a project, or redesigning and improving an existing flow to make it more scalable and reliable
• Be an advocate for a data platform team in tribe level or company level deep technical discussions
• Drive best practices in engineering and test automation within and beyond your team

Who you are:

• You have Strong analytical skills
• You have strong knowledge and experience with SQL and NoSQL databases
• You have strong Scala development skills
• Experience using Apache Beam
• You are passionate about Data and enjoy working with different teams to support them with their data infrastructure needs. 
• You have a lot of experience with performing root cause analysis on data and processes in order to answer business questions and identify opportunities for improvement
• You are innovative and good at initiating and driving new ideas and always try to improve the product you work with
• You are comfortable driving detailed technical discussions with stakeholders and other senior engineers from different teams
• You are a team player, willing to share knowledge and guide the team when needed
• A common theme throughout our teams is a genuine interest in music, so you might play an instrument, or maybe just love listening to music whenever you get a chance

Where you'll be:

• Distributed Workforce? Yes! We enable our band members to find a work mode best for them! 
• Where in the world? For this role, you can be based in a country in the EMEA region in which Spotify has a work location
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more info about our work from anywhere options here.
• Working hours? We operate within the Central European time zone for collaboration

Our global benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse.
• Flexible share incentives letting you choose how you share in our success.
• Global parental leave, six months off - fully paid - for all new parents.
• All The Feels, our employee assistance program and self-care hub.
• Flexible public holidays, swap days off according to your values and beliefs.
• Spotify On Tour, join your colleagues on trips to industry festivals and events.