Lead Data Science Engineers (all Human Genders)

Beschreibung

Why this should be appealing to you?

• Work with the Best: The founders have proven track record of bringing ideas to products from zero to over $100 Million net worth
• Learn from the Crème de la crème: Your teammates are prominent figures in the IT field, recognized through a variety of IT publications. Some of their authored books might even be on your personal bookshelf
• Get involved as a core team member and leave a mark on one of the most promising AI-Projects, from ideation to execution
• Get the Exposure to the challenges and dynamics of building and scaling a busines
• Work 100% remote:

Profil

What is your responsibility as a Lead Data Science Engineer?  

• Lead and manage end-to-end data science projects, collaborating with cross-functional teams.
• Design and implement advanced machine learning algorithms, optimizing for scalability and performance.
• Oversee data engineering tasks, including data collection, cleaning, and building and maintaining data pipelines.
• Lead the deployment of machine learning models into production, working with DevOps and IT teams.
• Provide technical guidance and mentorship to data scientists and engineers, staying informed about industry trends.

Aufgabe

What is your responsibility as a Lead Data Science Engineer?  

• Lead and manage end-to-end data science projects, collaborating with cross-functional teams.
• Design and implement advanced machine learning algorithms, optimizing for scalability and performance.
• Oversee data engineering tasks, including data collection, cleaning, and building and maintaining data pipelines.
• Lead the deployment of machine learning models into production, working with DevOps and IT teams.
• Provide technical guidance and mentorship to data scientists and engineers, staying informed about industry trends.

Arbeitgeber

The company is developing currently an Artificial Intelligence colleague:   "An AI that doesn't wait for the user to tell it what to do and doesn't come with yet another new app or web application, but instead proactively operates and communicates with its user and integrates into their existing professional environment: email, message, slack etc. Its goal ist to allow its user to maximally focus on what is important to them by giving them as much time and piece of mind as possible.   Technically, it combines complex domain-specific knowledge and context with multi-level decision making, heuristics, learned preferences and all kinds of trained ML algorithms with complex LLM prompting."