We are looking for a Data Scientist to join the team that builds an easy-to-use audio creation studio under the umbrella of the client.
It’s cloud-based, offers real-time collaboration, and works on many kinds of devices.
Great musicians and artists – established or not – shouldn’t have to be tech-savvy on audio engineering, so we are making it possible for almost anyone to be able to focus on their creativity and not the complexity that comes with many recordings and editing tools today.
We have an insights-led culture at the client where we place a strong emphasis on the user experience. You will work collaboratively with other data scientists, designers, product managers, user researchers, and business team members to be a part of the product and business development process. You will take part in discovering findings to improve and invent new features, and understanding and developing aspects of the user journey.
At the client, data is a first-class citizen.
We believe that doing a good job analyzing it is key to our success as a company.
What you’ll do
Work closely with cross-functional teams of data scientists, user researchers, product managers, designers, and engineers who are passionate about our consumer experience.
Perform analysis on large sets of data to extract impactful insights on user behavior that will help drive product and design decisions.
Communicate insights and recommendations to partners across the client.
Help teams understand their data, with dashboards and through exploratory analysis.
Set up, monitor, and analyze experiments.
Define events, build pipelines, and build tools together with the data science community.
Be a key partner in our work to build out our product and business strategy so that we are relevant in the daily lives of consumers.
Where you’ll be
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours.
Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Have experience in a similar data scientist role and/or degree in computer science, engineering, statistics, mathematics, economics or another quantitative subject area.
Possess technical competence to perform more advanced analytics: Analytics tools experience (such as Pandas and SQL) and Coding skills (such as Python or R).
Your past experience has provided you with a deep understanding of numbers, a strong business sense for business performance drivers, and the skill to craft compelling and clear narratives using those data and insights.
You’ll be skilled in tackling loosely defined challenges, working both independently and as part of a cross functional analytics and strategy team.
You have a strong passion for music, experience in music production and/or experience from the music industry is highly valued, but not a must have.