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.
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 optimize our marketing efforts.
You will develop and maintain attribution and marketing mix models to accurately quantify the impact of various marketing channels.
Responsibilities:
Devise models to drive campaign targeting and budget allocation to optimize the return on investment and efficiency of marketing campaigns.Design, execute, and analyze marketing optimization experiments, leveraging statistics, econometric models, and causal inference techniques to determine the true impact of specific marketing interventions.Contribute significantly to advance challenging Data Science projects.Participate in hackdays or hackathons organized with other teams.Mentor new joiners and contribute to the data science and analytics community at Fever. About you:
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 optimization problems.You are proficient in common data and ML tools (e.g., SQL, Pandas, Numpy).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 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. Benefits & Perks:
Attractive compensation package consisting of base salary and potential bonuses.Stock options.40% discount on all Fever events and experiences.Flexible hybrid model.Health insurance and other benefits. Fever 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, opinion, sexual orientation, disability, pregnancy, marital status, age, or caring responsibilities.
We encourage everyone to apply!
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