Senior Data Scientist, Merantix
Ovom Care
ESOP package
AI investment platform
Job no longer available
AI investment platform
21-100 employees
Job no longer available
ESOP package
21-100 employees
Company mission
To ensure AI drives growth and societal progress with European values and talent.
Role
Who you are
- Educational Background: Master’s or PhD in Data Science, Statistics, Computer Science, or a related field
- Professional Experience: At least 5 years of experience in data science, with substantial exposure to healthcare data analysis
- Technical Expertise:
- Proficiency in statistical programming languages such as Python and R
- Experience with SQL and NoSQL databases
- Strong foundation in statistical analysis, machine learning algorithms, and predictive modeling
- Familiarity with data visualization tools like Tableau, Power BI, or similar
- Regulatory Knowledge: Comprehensive understanding of data governance, particularly GDPR and ISO standards in healthcare
- Analytical Skills: Exceptional analytical and quantitative problem-solving skills
- Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders
- Cloud Computing: Skilled in using Google Cloud Platform (GCP) tools such as BigQuery for data warehousing, AI Platform for deploying machine learning models, and Dataflow for stream and batch data processing
- Version Control: Use of Git for source code management
- Open Source Technologies: Extensive use of open-source libraries and frameworks for data analysis, such as Pandas, NumPy, and Matplotlib for data manipulation and visualization
- CI/CD Practices: Knowledge of continuous integration and continuous deployment pipelines, ensuring smooth transitions between data model testing and production environments
- Monitoring Tools: Utilization of GCP’s operations suite for monitoring deployed models and ensuring their performance stays aligned with expectations
What the job involves
- As a Senior Data Scientist at Ovom Care, you will be instrumental in driving our analytics capabilities and working closely with our Machine Learning Engineers to develop predictive models that enhance healthcare outcomes
- Data Strategy and Analysis: Develop comprehensive data collection and analysis strategies to support machine learning projects, for example leveraging high-resolution ultrasound image data
- Model Development and Evaluation: Build, test, and refine predictive models using statistical and machine learning techniques. Collaborate with ML Engineers to integrate these models into larger systems
- Data Governance and Compliance: Ensure adherence to GDPR and ISO compliance in all data practices, maintaining the highest standards of data privacy and security
- Cross-functional Team Leadership: Work alongside engineers, healthcare professionals, and business analysts to define problem statements, devise solutions, and deliver actionable insights
- Advanced Analytics: Utilize advanced analytical techniques to interpret complex data, identify trends, and solve nuanced problems in healthcare data
- Communication and Reporting: Present complex data in a clear and concise manner to stakeholders at all levels of the organization, providing data-driven insights and recommendations for strategic decision-making
- Integration with Healthcare Systems: Design and implement data integration solutions with various laboratory machines and services using healthcare standards such as HL7, ensuring seamless data flow and interoperability across systems
Our take
Predicting AI as the most significantly growing tech field of this century, Merantix aims to apply machine learning to sectors that can benefit most from it. After a robust, highly selective vetting process, Merantix identifies founders and collaborates to provide support and funding to scale their businesses. The company integrates all areas of AI, building a complete talent pipeline and fund for venture scaling. Successful examples include Vara, SiaSearch, and Cambrium.
Merantix differentiates itself from typical venture capital firms through its approach. While most VCs invest in established businesses, spreading funds across many companies and taking losses while focusing on winners, Merantix tries to pick winners at the earliest stage.
The launch of an AI Campus in 2021 significantly increased the company's ecosystem, allowing it to explore new fields. Through strategic partnerships with SoftBank and the AI City project in Dubai, Merantix is growing. It has incubated ten successful startups so far and aims to produce even more in the coming years. Merantix is raising a new €100 million fund to co-invest in startups, marking its largest fund yet. This fund will be allocated to co-investing in external startups, investing in incubated startups, and supporting existing investments.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
32% employee growth in 12 months
Company
Company HQ
Brunnenviertel, Berlin, BE
Leadership
Rasmus Rothe
(Co-Founder & General Partner)Director of HackZurich since 2014. Currently a board member for Merantix Labs, SiaSearch, Kausa, Cambrium, and KI Bundesverband. Co-founder and on the board of AI Campus Berlin.
Adrian Locher
(Co-Founder & General Partner)Previously founded Altoida. Currently a board member for Kausa, Cambrium, SiaSearch, Vara, and Merantix Labs. Co-founded and on the advisory board for AI Campus Berlin.
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