Nexro is an early phase startup with the mission of empowering the music industry. We are developing our predictive analytics to give the music professionals true insights from music trends. We gather data from streaming platforms, social media, radio stations and music consumption to deliver real-time trends predictions for labels, publishers, marketing, promotion and other music industry professionals that wish to leverage their operations with the power of data and AI.
We are looking for people with passion and eager to help Nexro bring its product to life. We encourage you to apply even if your experience doesn't match all requirements listed.
Are you a data scientist or have experience with AI development? Are you intrigued by early-stage projects, constantly changing work environments and product development? As a part of Nexro you will be an essential asset in bringing our product to launch. You will be a part of our technological drive while working alongside strategic decisions, partners and future customers.
Autonomy and determination is critical in this position as we are a small team with big milestones ahead. You would be joining a small flexible team where all have their responsibilities, everyone is working towards the same goal.
You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements
The ideal candidate's favorite words are learning, data, scale, and agility.
Master's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 1 - 2 years' of experience in quantitative analytics or data modeling
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
Efficiency with Python is required.
Familiarity with SQL is a significant plus.
An opportunities to take part in our first years of growth, which means
A fair salary.
Very attractive compensation in the form of equity stake.
Ownership of what you create.
A significant position where your initiatives, ideas and decisions will have a big impact.
Adaptive and flexible working environment.
A remote-first working environment.
Flexible working hours.
Access to our offices in Oslo.
This job comes with several perks and benefits
