Beschreibung
Working Hours (20h/30h/40h): 40Must have Stacks/Skills: Python, CI&CD, Git, Online Marketing experience
Project start: asap
Duration estimate: 6 months
Remote/Onsite: remote possible, 1-2 days onsite preferred
Location: Berlin/remote
Project Goal and Tasks:
- Contribute to the research, development and operations of machine-learning-powered solutions in the scope of marketing mix optimization and recommendation engines.
- Collaborate with other data scientists and data engineers on the full conception to production lifecycle.
- Work on optimization problems to maximize the revenue of our clients given a marketing budget, leveraging: Machine learning to solve multivariate time series regression problems.
- non-linear and linear optimization algorithms & Utility maximization theory & marketing mix models
- Additionally, we are looking forward to work on topics to translate raw text data into matching algorithms leveraging state-of-the-art models towards the next generation talent-jobmatching solution.
- State-of-the-art transformers for text classification problems
Spoken Language: English
Nice to have tech stack: AWS, Docker, Airflow
New/Ongoing Project: new