Principal Data Scientist*in (d/f/m) bei Aignostics

Einführung

Aignostics ist ein Spin-off eines der größten und renommiertesten Universitätskliniken Europas (Charité) und sucht einen Principal Data Scientist, der eine entscheidende Rolle in der wissenschaftlichen und technischen Ausrichtung unserer Datenwissenschaftsplattform spielt.

Aufgaben

Own the technical direction and scientific integrity of our data science platform, models, as well as algorithms
Advise our CTO and VP of Data Science on the data science vision of Aignostics
Align our data science strategy with business objectives to provide a competitive advantage
Resolve technical and scientific conflicts across teams and harmonize models, analyses, and technologies to unlock synergies
Advise product management on technical and scientific feasibility, cost, and risks of complex product features
Drive technical and scientific design, planning, and integration of our platform across systems and algorithms
Provide technical and scientific guidance in data science model, algorithm, and system design reviews for all teams
Educate senior and mid-level data scientists to bring them up to the next level
Demonstrate long-term thinking and utmost technical and scientific excellence in your individual contributions
Lead the technical and scientific strategic planning and execution across the TechOrg's quarterly roadmap
Champion the drive for the highest standards across data science teams
Drive yearly operational readiness reviews of our data science models, algorithms, and systems, collaborating with owning teams
Guide data science teams in maintaining up-to-date, high-quality documentation and code

Voraussetzungen

Advanced degree in Data Science, Machine Learning, Statistics, Computer Science, Software Engineering, or a related field
8+ years of data science development experience, with at least 5 years in senior leadership roles
Proven track record of driving technical and scientific excellence and innovation in organizations with 50+ scientists and engineers
Excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders
Extensive experience with machine learning and statistical concepts, including advanced topics such as self-supervised learning, foundation models, explainable AI (XAI), multimodal models, AutoML, or survival analysis
Extensive background in large-scale deep learning models and systems, machine learning and data science design patterns, software architecture, and clean coding
Extensive experience in designing and implementing large-scale, distributed machine learning models and systems
Extensive expertise in multiple programming languages and frameworks
Deep understanding of cloud technologies (GCP, AWS), containerization and orchestration (Kubernetes)

Benefits

Join a purpose-driven startup: We are working collectively to fight cancer and improve patient outcomes
Cutting-edge AI research and development, with involvement of Charité, LMU Munich, TU Berlin, and our other partners
Work with a welcoming, diverse, and highly international team of colleagues
Opportunity to take significant responsibility and grow your role within the startup
Expand your skills by benefitting from our Learning & Development yearly budget of 1,000€ (plus 2 L&D days), language classes and internal development programs
Mentoring program, where you'll learn from and mentor great experts
Flexible working hours and teleworking policy
Enjoy your well-deserved time off with 28 paid vacation days per year
Family & pet friendly and support flexible parental leave options
Pick a subsidized membership of your choice among public transport, sports, and well-being
Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment