Senior Data Scientist (m/f/d)
Kayzen, EMEA Remote +1
The role
Europe or India, Remote _______________________________________________
Hello👋I am Puneet, Co-founder and CPO at Kayzen, and I am now looking for a Senior Data Scientist to join our team 🙌
But wait, you have not heard of Kayzen before?😃
Kayzen is the Apps DSP: an AI-native platform built on its own bidding engine, for buying app inventory across mobile and connected TV screens. App developers, agencies, media buyers and ad platforms use Kayzen to drive full-funnel outcomes across both screens, from awareness and consideration to installs, purchases and calls. Available through self-serve and managed services, Kayzen combines machine-learning optimisation with bid - and impression-level transparency, granular control over buying decisions, and AI capabilities that connect campaign data to the AI assistants teams already use.
Kayzen’s vision is to democratise programmatic marketing by making it accessible to every team. Headquartered in Berlin, Kayzen operates globally.
The team
You will work with a carefully selected, diverse, senior and globally distributed Data Science team (like Heiko, Chen) on various machine-learning models that process terabytes of data, serving billions of ad requests and users around the globe in real-time. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry. We would like you to be part of our journey, as our Senior Data Scientist (m/f/d).
What you will do
Our day-to-day work in Data Science and Machine Learning encompasses a wide range of activities, including:
- Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data.
- Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms.
- Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively.
- Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain.
- A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies.
You’ll be a great fit if you resonate with the following principles of Data Science and Machine Learning:
- Simplicity First: