Data Scientist - MKT Optimisation
Role details
Job location
Tech stack
Job description
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 sidesYou'll be able to navigate our data assetsYou'll get familiar with Fever's tech stack and frameworksYou'll attend some of the Fever Original's experiences like CandlelightAfter 3 months in Fever:You'll understand the full business context at Fever and will be able
Requirements
to identify key challenges where your skills can eventually make a differenceYou'll have already contributed significantly to advance a challenging Data Science projectYou'll participate in some of the hackdays or hackathons we organize with other teamsOn your 6th month in Fever:You'll have established yourself as a sought-after collaborator by our business and engineering partnersYou'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 efficientYou'll have significant input in the planning of the Data Science org and will also be able to influence our partners' roadmapsAbout youYou have solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level) so youUnderstand the theory behind the algorithmsCan make informed and reasonable modeling choicesCan rigorously evaluate the performance and failure modes of your proposalsYou 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 youAre a master of common data and ML tools (e.g. SQL, Pandas, Numpy, …)Can build both quick prototypes and robust analysis and modeling pipelinesCan work effectively with data engineers, analysts, software engineers, etcYou have a scientific mindset, a problem-first attitude and are highly self-critical so youCan translate complex problems into mathematical formulationsStart simple and construct solid baselinesKnow when it's necessary to introduce extra complexity and when simple is betterDon't reinvent the wheelYou have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment
Benefits & conditions
so youTake ownership of your workCommunicate early and oftenTake controlled risksLeave things better than you found themYou 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 EnglishIt 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 companiesIdentify yourself as both a scientist and a hackerHave experience with current ML and scientific computing frameworks such as Pytorch, JAX, etc.Benefits & PerksAttractive 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 leader40% discount on all Fever events and experiencesFlexible hybrid model. Our offices are located in Madrid and Barcelona.Responsibility from day one and professional and personal growthGreat 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 LessonsGympass MembershipPossibility 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.Thank you for considering joining Fever. We cannot wait to learn more about you!If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunchFever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion