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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.
Job Responsibility:
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.
Requirements:
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 are a master of common data and ML tools (e.g. SQL, Pandas, Numpy, …)
You can work effectively with data engineers, analysts, software engineers, etc
You can turn your ideas into reality
You have a scientific mindset, a problem-first attitude and are highly self-critical
You can translate complex problems into mathematical formulations
You have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment
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
Nice to have:
Have significant expertise in technical areas such as Bayesian modeling, econometric models, causal inference, dynamic pricing
Have relevant work experience in 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.
What we offer:
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
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