Senior Data Scientist
vor 2 Wochen
Your mission
- Develop pragmatic data strategies and implement algorithms in order to provide personalized psychological mental support for our users
- Design a data roadmap and architecture, experiment with AI and ML algorithms, take ownership of data science projects and bring features to production
- Understand user requirements and use your knowledge to explore how data science and machine learning could solve these problems
- Work closely with the CTO to identify data related risks and challenges and drive the data strategy of the company
- Collaborate closely with colleagues from Design, Product Management, Engineering, and the CTO to define a roadmap, different features, and iteration scope using agile methodologies
**Profile**:
- At least 3 years of professional experience as a data scientist (M/F/x) or ML engineer (M/F/x)
- Fluency in a programming language (e.g. Python)
- Professional experience with neural networks and recommender systems
- Experience with clustering algorithms
- You have a growth mindset and are excited to help your colleagues grow, always thinking of the team before yourself
- The startup world and culture is not completely new to you; you have already had the chance to gain working experience in a young and dynamic compan
- Fluent in English spoken and written
Why you will love working with us
- Join an innovative and fast-growing startup and work for a good mission that will have a positive impact on our society
- High degree of freedom and responsibility within your tasks
- Benefit from using our platform for free, spend less time with client acquisition and concentrate on the most important thing: the personal conversation
- Enjoy a working environment characterized by flat hierarchies, a great company spirit, and an open feedback culture
It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.
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