Senior Data Scientist - MKT Optimisation

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.   

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 marketing, product, and engineering to devise data-driven solutions to optimise our marketing efforts.
• You will develop and maintain attribution and marketing mix models to accurately quantify the impact of various marketing channels.
• You will devise models to drive campaign targeting and budget allocation to optimise the return of investment and efficiency of marketing campaigns.
• You will design, execute, and analyze marketing optimisation experiments, leveraging statistics, econometric models, and causal inference techniques to determine the true impact of specific marketing interventions. 
• 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, 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, …)
• Can build both quick prototypes and robust analysis and modeling pipelines
• Can work effectively with data engineers, analysts, software engineers, etc

• You have a scientific mindset, a problem-first attitude and are highly self-critical so you
• Can translate complex problems into mathematical formulations
• Start simple and construct solid baselines
• Know when it's necessary to introduce extra complexity and when simple is better
• Don't reinvent the wheel
• You have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment so you

• Take ownership of your work
• Communicate early and often
• Take controlled risks
• Leave things better than you found them
• You are comfortable with software engineering best practices and write robust, reproducible and maintainable code, but can also build quick prototypes to validate ideas and enable new analysis.
• You have excellent communication skills and are proficient in business English

It would be a plus if you...

• Have significant expertise in technical areas such as Bayesian modeling, econometric models, causal inference, dynamic pricing …
• Have relevant work experience internet tech companies
• Identify yourself as both a scientist and a hacker
• Have experience with current ML and scientific computing frameworks such as Pytorch, JAX, etc.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock options.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Flexible hybrid model. Our offices are located in Madrid and Barcelona.
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English Lessons
• Gympass Membership
• Possibility to receive in advance part of your salary by Payflow.

For any doubts regarding the Internal Mobility program, you can check the guidelines on the following link.