We are the leading integral live-entertainment discovery tech platform with a clear mission: to democratize access to culture and entertainment. 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. 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 global organization. Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team. 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 marketing, product, and engineering to devise data-driven solutions to optimise our marketing efforts. You will devise models to drive campaign targeting and budget allocation to optimise the return of investment and efficiency of marketing campaigns. 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.

You'll play a key role in taking Fever's already vibrant data culture to the next level. You’ll be able to navigate our data assets. You'll have already contributed significantly to advance a challenging Data Science project.





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. You have solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level).

You have a strong understanding of statistical analysis and modeling including regression, clustering, and time series analysis and forecasting. You have prior experience working in Web analytics and marketing optimisation problems such as Attribution, Marketing Mix, and funnel optimisation. You can turn your ideas into reality, meaning that you are a master of common data and ML tools (e.g.

SQL, Pandas, Numpy, …). You can build both quick prototypes and robust analysis and modeling pipelines. You can work effectively with data engineers, analysts, software engineers, etc. You are comfortable with software engineering best practices and write robust, reproducible and maintainable code.

You have excellent communication skills and are proficient in business English. It would be a plus if you... Have relevant work experience in internet tech companies. Have experience with current ML and scientific computing frameworks such as Pytorch, JAX, etc.

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. ~ Opportunity to have a real impact in a high-growth global category leader. ~Flexible hybrid model. Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee. ~ English Lessons. ~

📌 Senior Data Scientist, hibrido (Madrid)
🏢 Fever
📍 Madrid