Hi, we're
Fever
We're excited you are checking out this job offer.
We are
the
leading global live-entertainment discovery tech platform with a clear mission:
to democratize access to culture and entertainment.
How do we achieve our mission? Fever has developed a proprietary technology that inspires a global community of over 125M people through personalized and curated experiences in their local city whilst empowering entertainment and event creators to reach new audiences and enhance their experience.
Sounds amazing, right?
At Fever we are committed to fostering professional growth and development through our Internal Mobility Policy. Our goal is to provide our talented employees with diverse opportunities to expand their skills, knowledge, and experiences within our general organization.
We aim to create fulfilling career paths, retain top talent, and strengthen our operations across different countries. Through a transparent and inclusive process, we will offer the necessary support to ensure successful transitions to new roles.
Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team. We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.
About the role
Sitting at the intersection of business and engineering, Data Scientists work in several different capacities to improve the overall decision making capabilities at the company and connect people to the best and most relevant experiences.
You will work closely with our stakeholders in business, product, and engineering to devise data-driven solutions to optimise the pricing of events in our marketplace.




You will develop and maintain models to accurately estimate demand and price elasticity in order to maximise the long term value for our customers and Fever.
You will analyse and exploit cross effects across products and contexts (e.g., box office, marketplace) to drive further optimisation opportunities.
You will design, execute, and analyze experiments, leveraging statistics, econometric models, causal inference techniques to determine the true impact of pricing interventions.
You will collaborate with our partners to devise the right solutions across domains (e.g., sports and live entertainment), to tackle diverse business problems and needs.
Data Scientists also form a tight-knit group constantly looking to upskill and learn from each other, share best practices and learnt lessons and generally foster a culture of excellence.
This is a highly visible role with a lot of potential to define the scope and strategy for this extremely important function. You'll play a key role in taking Fever's already vibrant data culture to the next level
On your first month in Fever:
You'll be fully integrated into the team and you will meet some key partners on the engineering and business sides
You'll be able to navigate our data assets
You'll get familiar with Fever's tech stack and frameworks
You'll attend some of the Fever Original's experiences like
Candlelight
After 3 months in Fever:




You'll understand the full business context at Fever and will be able to identify key challenges where your skills can eventually make a difference
You'll have already contributed significantly to advance a challenging Data Science project
You'll participate in some of the hackdays or hackathons we organize with other teams
On your 6th month in Fever:
You'll have established yourself as a sought-after collaborator by our business and engineering partners
You'll be mentoring other new joiners to the team and be an active contributor to the data science and analytics community at Fever, promoting best practices and fresh ideas to make the whole community more efficient
You'll have significant input in the planning of the Data Science org and will also be able to influence our partners' roadmaps
About you
You have solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level) so you
Understand the theory behind the algorithms
Can make informed and reasonable modeling choices
Can rigorously evaluate the performance and failure modes of your proposals
You have a strong understanding of statistical analysis and modeling including regression, econometric models, time series analysis and forecasting.
You can turn your ideas into reality, meaning that you
Are a master of common data and ML tools (e.g. SQL, Pandas, Numpy, ...)
Can build both quick prototypes and robust analysis and modeling pipelines
Can work effectively with data engineers, analysts, software engineers, etc.
You have prior experience developing and deploying models for business applications.
You have a scientific mindset, a problem-first attitude and are highly self-critical so you

📌 Senior Data Scientist (Málaga)
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📍 Málaga